ACEMS Publications

Rebuli, N. P., Bean N. G., & Ross J. V. (2017).  Hybrid Markov chain models of S–I–R disease dynamics. Journal of Mathematical Biology. doi: 10.1007/s00285-016-1085-2
Feng, L.B., Zhuang P., Liu F., Turner I., & Li J. (2017).  High-order numerical methods for the Riesz space fractional advection–dispersion equations. Computers & Mathematics with Applications. doi: 10.1016/j.camwa.2016.01.015
Feng, G., Gao J., Peng B., & Zhang X. (2017).  A varying-coefficient panel data model with fixed effects: Theory and an application to US commercial banks. Journal of Econometrics. 196(1), 68-82. doi: 10.1016/j.jeconom.2016.09.011
Tredenick, E. C., Farrell T., W. Forster A., & Psaltis S. T. P. (2017).  Nonlinear Porous Diffusion Modeling of Hydrophilic Ionic Agrochemicals in Astomatous Plant Cuticle Aqueous Pores: A Mechanistic Approach. Frontiers in Plant Science. 8, doi: 10.3389/fpls.2017.00746
Mengersen, K., Peterson E. E., Clifford S., Ye N., Kim J., Bednarz T., et al. (2017).  Modelling imperfect presence data obtained by citizen science. Environmetrics. 28(5), e2446. doi: 10.1002/env.v28.5,10.1002/env.2446
Lee, J., Brown J., & Ryan L. M. (2017).  Sufficiency revisited: Rethinking statistical algorithms in the big data era. The American Statistician. doi: 10.1080/00031305.2016.1255659
Andersen, L. Nørvang, Laub P., & Rojas-Nandayapa L. (2017).  Efficient Simulation for Dependent Rare Events with Applications to Extremes. Methodology and Computing in Applied Probability. doi: 10.1007/s11009-017-9557-4
Ma, Y., Liu A., Egodawatta P., McGree J., & Goonetilleke A. (2017).  Assessment and management of human health risk from toxic metals and polycyclic aromatic hydrocarbons in urban stormwater arising from anthropogenic activities and traffic congestion. Science of The Total Environment. 202-211. doi: 10.1016/j.scitotenv.2016.11.015
Cusimano, N., Burrage K., Turner I., & Kay D. (2017).  On reflecting boundary conditions for space-fractional equations on a finite interval: Proof of the matrix transfer technique. Applied Mathematical Modelling. 554-565. doi: 10.1016/j.apm.2016.10.021
Anderson, C., Lee D., & Dean N. (2017).  Spatial clustering of average risks and risk trends in Bayesian disease mapping. Biometrical Journal. 59(1), 41-56. doi: 10.1002/bimj.201600018
Nolan, T. H., & Wand M. (2017).  Accurate logistic variational message passing: algebraic and numerical details. Stat. 6(1), 102-112. doi: 10.1002/sta4.139
Johnson, S., Logan M., Fox D., Kirkwood J., Pinto U., & Mengersen KL. (2017).  Environmental decision-making using Bayesian networks: Creating an environmental report card. Applied Stochastic Models in Business and Industry. doi: 10.1002/asmb.2190
Cespedes, M. I., Fripp J., McGree J., Drovandi C. C., Mengersen KL., & Doecke J. D. (2017).  Comparisons of neurodegeneration over time between healthy ageing and Alzheimer's disease cohorts via Bayesian inference. BMJ Open. 7(2), 12174-12174. doi: 10.1136/bmjopen-2016-012174
Mandjes, M., Patch B., & Walton N. (2017).  Detecting Markov Chain Instability: A Monte Carlo Approach. Stochastic Systems.
Vaisman, R., & Kroese D. P. (2017).  Stochastic Enumeration Method for Counting Trees. Methodology and Computing in Applied Probability. 19(1), 31 - 73. doi: 10.1007/s11009-015-9457-4
García-Díaz, P., Ross J. V., Woolnough A. P., & Cassey P. (2017).  The illegal wildlife trade is a likely source of alien species. Conservation Letters. doi: 10.1111/conl.12301
Anderson, C., & Ryan L. M. (2017).  A Comparison of Spatio-Temporal Disease Mapping Approaches Including an Application to Ischaemic Heart Disease in New South Wales, Australia. International Journal of Environmental Research and Public Health. 14(2), 146-162. doi: 10.3390/ijerph14020146
Samuelson, A., Haigh A., O'Reilly MM., & Bean N. G. (2017).  Stochastic model for maintenance in continuously deteriorating systems. European Journal of Operational Research. 259(3), 1169-1179. doi: 10.1016/j.ejor.2016.11.032
Zhu, W., & Fan Y. (2017).  A novel approach for Markov random field with intractable normalizing constant on large lattices. Journal of Computational and Graphical Statistics. 1-1. doi: 10.1080/10618600.2017.1317263
Ebert, A., Wu P., Mengersen K., & Ruggeri F. (2017).  Computationally Efficient Simulation of Queues: The R Package queuecomputer. arXiv.
McGree, J. (2017).  Developments of the total entropy utility function for the dual purpose of model discrimination and parameter estimation in Bayesian design. Computational Statistics & Data Analysis. doi: 10.1016/j.csda.2016.05.020
Friel, N., McKeone J. P., Oates C., & Pettitt A.N. (2017).  Investigation of the widely applicable Bayesian information criterion. Statistics and Computing. doi: 10.1007/s11222-016-9657-y
Vaisman, R., Roughan M., & Kroese D. P. (2017).  The Multilevel Splitting algorithm for graph colouring with application to the Potts model. Philosophical Magazine. 97(19), 1646 - 1673. doi: 10.1080/14786435.2017.1312023
García-Díaz, P., Ross J. V., Woolnough A. P., & Cassey P. (2017).  Managing the risk of wildlife disease introduction: Pathway-level biosecurity for preventing the introduction of alien ranaviruses. Journal of Applied Ecology. 54(1), 234-241. doi: 10.1111/1365-2664.12749
Lee, X. J., Fulford G. R., Pettitt A.N., & Ruggeri F. (2017).  A stochastic model for MRSA transmission within a hospital ward incorporating environmental contamination. Epidemiology and Infection. 145(4), 825-838. doi: 10.1017/S0950268816002880
Benham, T., Duan Q., Kroese D., & Liquet B. (2017).   : Cross-Entropy Package for Optimization . Journal of Statistical Software. 76(8),  doi: 10.18637/jss.v076.i08
Fan, Y., de Micheaux P. Lafaye, Penev S., & Salopek D. (2017).  Multivariate nonparametric test of independence. Journal of Multivariate Analysis. 153, 189-210. doi: 10.1016/j.jmva.2016.09.014
Loertscher, S., Muir E., & Taylor P. (2017).  A general noncentral hypergeometric distribution. Communications in Statistics - Theory and Methods. 4579-4598. doi: 10.1080/03610926.2015.1088033
Price, L.. F., Drovandi C.. C., Lee A.., & Nott D.. J. (2017).  Bayesian Synthetic Likelihood. Journal of Computational and Graphical Statistics. 1 - 11. doi: 10.1080/10618600.2017.1302882
Lawson, B. A. J., & Pettet G. J. (2017).  Space-limited mitosis in the Glazier–Graner–Hogeweg model. Bulletin of Mathematical Biology. 79(1), 1-20. doi: 10.1007/s11538-016-0204-y
Oates, C., Kasza J., Simpson J. A., & Forbes A. B. (2017).  Repair of partly misspecified causal diagrams. Epidemiology.
Duan, Q., & Kroese D. P. (2017).  Splitting for Multi-objective Optimization. Methodology and Computing in Applied Probability. doi: 10.1007/s11009-017-9572-5
Li, J., Nott D.J., Fan Y., & Sisson S. (2017).  Extending approximate Bayesian computation methods to high dimensions via a Gaussian copula model. Computational Statistics & Data Analysis. 106, 77-89. doi: 10.1016/j.csda.2016.07.005
Isaak, D. J., Hoef J. M. Ver, Peterson E., Horan D., & Nagel D. (2017).  Scalable population estimates using spatial-stream-network (SSN) models, fish density surveys, and national geospatial database frameworks for streams. Canadian Journal of Fisheries and Aquatic Sciences. 74(2), 147-156. doi: 10.1139/cjfas-2016-0247
Rodrigues, T., & Fan Y. (2017).  Regression adjustment for noncrossing Bayesian quantile regression. Journal of Computational and Graphical Statistics. doi: 10.1080/10618600.2016.1172016
Psaltis, S. T. P., Farrell T., Burrage K., Burrage P., McCabe P., Moroney T. J., et al. (2017).  Using Population of Models to investigate and quantify gas production in a spatially heterogeneous coal seam gas field. Applied Mathematical Modelling. doi: 10.1016/j.apm.2017.05.005
Peterson, E. E., & Pearse A. R. (2017).  IDW-Plus: An ArcGIS Toolset for Calculating Spatially Explicit Watershed Attributes for Survey Sites. JAWRA Journal of the American Water Resources Association. doi: 10.1111/1752-1688.12558
Thomas, A., Toms L-M. L., Harden F. A., Hobson P., White N., Mengersen KL., et al. (2017).  Concentrations of organochlorine pesticides in pooled human serum by age and gender. Environmental Research. 154, 10-18. doi: 10.1016/j.envres.2016.12.009
Feng, L.B., Zhuang P., Liu F., Turner I., Anh V., & Li J. (2017).  A fast second-order accurate method for a two-sided space-fractional diffusion equation with variable coefficients. Computers & Mathematics with Applications. doi: 10.1016/j.camwa.2016.06.007
Stark, T. L., Liberles D. A., Holland B. R., & O'Reilly MM. (2017).  Analysis of a mechanistic Markov model for gene duplicates evolving under subfunctionalization. BMC Evolutionary Biology. 17, 1-16. doi: 10.1186/s12862-016-0848-0
Tobler, R., Rohrlach AB., Bover P., Llamas B., Tuke J., Bean N. G., et al. (2017).  Aboriginal mitochondrial genetic lineages reveal founding population movements and regionalism in Australia. Nature.
Forrester, P. (2016).  Analogies between random matrix ensembles and the one-component plasma in two-dimensions. Nuclear Physics B. 904, 253-281. doi: 10.1016/j.nuclphysb.2016.01.014
Kang, S. Y., Cramb S., White N., Ball S. J., & Mengersen KL. (2016).  Making the most of spatial information in health: a tutorial in Bayesian disease mapping for areal data. Geospatial Health. 11(2),  doi: 10.4081/gh.2016.428
Duan, Q., & Kroese D. (2016).  Splitting for optimization. Computers & Operations Research. 73, 119-131. doi: 10.1016/j.cor.2016.04.015
Gemmell, P., Burrage K., Rodríguez B. R., & Quinn T. A. (2016).  Rabbit-specific computational modelling of ventricular cell electrophysiology: Using populations of models to explore variability in the response to ischemia. Progress in Biophysics and Molecular Biology. 121(2), 169-184. doi: 10.1016/j.pbiomolbio.2016.06.003
Scharth, M., & Kohn R. (2016).  Particle efficient importance sampling. Journal of Econometrics. 190(1), 133-147. doi: 10.1016/j.jeconom.2015.03.047
Drovandi, C. C., Pettitt A.N., & McCutchan R. A. (2016).  Exact and approximate Bayesian inference for low integer-valued time series models with intractable likelihoods. Bayesian Analysis. 11(2), 325-352. doi: 10.1214/15-BA950
Huque, MH., Bondell H. D., Carroll R. J., & Ryan L. M. (2016).  Spatial regression with covariate measurement error: A semiparametric approach. Biometrics. 72(3), 678-686. doi: 10.1111/biom.12474
Scheinhardt, W. R. W., & Kroese D. P. (2016).  A comparison of random walks in dependent random environmentsAbstract. Advances in Applied Probability. 48(01), 199 - 214. doi: 10.1017/apr.2015.13
Johnston, S. T., Ross J. V., Binder B. J., McElwain D.L. Sean, Haridas P., & Simpson M. J. (2016).  Quantifying the effect of experimental design choices for in vitro scratch assays. Journal of Theoretical Biology. 400, 19-31. doi: 10.1016/j.jtbi.2016.04.012
Mowla, A., Taimre T., Lim Y. L., Bertling K., Wilson S. J., Prow T. W., et al. (2016).  A compact laser imaging system for concurrent reflectance confocal microscopy and laser doppler flowmetry. IEEE Photonics Journal. 8(5), 1-9. doi: 10.1109/JPHOT.2016.2599014
Cramb, S., Mengersen KL., Lambert P. C., Ryan L. M., & Baade P. D. (2016).  A flexible parametric approach to examining spatial variation in relative survival. Statistics in Medicine. 35(29), 5448-5463. doi: 10.1002/sim.7071
Geweke, J. (2016).  Sequentially adaptive Bayesian learning for a nonlinear model of the secular and cyclical behavior of US real GDP. Econometrics. 4(1),  doi: 10.3390/econometrics4010010
Collevecchio, A., Garoni T., Hyndman T., & Tokarev D. (2016).  The worm process for the Ising model is rapidly mixing. Journal of Statistical Physics. 164(5), 1082-1102. doi: 10.1007/s10955-016-1572-2
Stephen, D., & Barnett A. G. (2016).  Effect of temperature and precipitation on salmonellosis cases in South-East Queensland, Australia: an observational study. BMJ Open. 6(2),  doi: 10.1136/bmjopen-2015-010204
Asmussen, S., Jensen J. L., & Rojas-Nandayapa L. (2016).  Exponential family techniques for the lognormal left tail. Scandinavian Journal of Statistics. 43(3), 774-787. doi: 10.1111/sjos.12203
Wells, J. A., Wilson K. A., Abram N. K., Nunn M., Gaveau D. L. A., Runting R. K., et al. (2016).  Rising floodwaters: Mapping impacts and perceptions of flooding in Indonesian Borneo. Environmental Research Letters. 11(6),  doi: 10.1088/1748-9326/11/6/064016
Huque, MH., Anderson C., Walton R., & Ryan L. M. (2016).  Individual level covariate adjusted conditional autoregressive (indiCAR) model for disease mapping. International Journal of Health Geographics. 15(1),  doi: 10.1186/s12942-016-0055-7
Price, D. J., Bean N. G., Ross J. V., & Tuke J. (2016).  On the efficient determination of optimal Bayesian experimental designs using ABC: A case study in optimal observation of epidemics. Journal of Statistical Planning and Inference. 172, 1-15. doi: 10.1016/j.jspi.2015.12.008
Braunsteins, P., Hautphenne S., & Taylor P. (2016).  The roles of coupling and the deviation matrix in determining the value of capacity in M/M/1/C queues. Queueing Systems. 83(1-2), 157-179. doi: 10.1007/s11134-016-9480-3
Y. Y Lee, C., & Wand M. (2016).  Variational methods for fitting complex Bayesian mixed effects models to health data. Statistics in Medicine. 35(2), 165-188. doi: 10.1002/sim.6737
Vaisman, R., Kroese D., & Gertsbakh I. B. (2016).  Improved sampling plans for combinatorial invariants of coherent systems. IEEE Transactions on Reliability. 65(1), 410-424. doi: 10.1109/TR.2015.2446471
Chen, S., Liu F., Jiang X., Turner I., & Burrage K. (2016).  Fast finite difference approximation for identifying parameters in a two-dimensional space-fractional nonlocal model with variable diffusivity coefficients. SIAM Journal on Numerical Analysis. 54(2), 606-624. doi: 10.1137/15M1019301
Olson, R., Fan Y., & Evans J. P. (2016).  A simple method for Bayesian model averaging of regional climate model projections: Application to southeast Australian temperatures. Geophysical Research Letters. 43(14), 7661-7669. doi: 10.1002/2016GL069704
Rodrigues, G. S., Nott D. J., & Sisson S. (2016).  Functional regression approximate Bayesian computation for Gaussian process density estimation. Computational Statistics and Data Analysis. 103, 229-241. doi: 10.1016/j.csda.2016.05.009
Mulhall, B. P., Wright ST., De La Mata N., Allen D., Brown K., Dickson B., et al. (2016).  Risk factors associated with incident sexually transmitted infections in HIV-positive patients in the Australian HIV Observational Database: A prospective cohort study. HIV Medicine. 17(8), 623-630. doi: 10.1111/hiv.12371
Pueyo, E., Dangerfield C. E., Britton O. J., Virág L., Kistamás K., Szentandrássy N., et al. (2016).  Experimentally-based computational investigation into beat-to-beat variability in ventricular repolarization and its response to ionic current inhibition. PLOS ONE. 11(3),  doi: 10.1371/journal.pone.0151461
S. Ghaemi, R., Delalat B., Cetó X., Harding F. J., Tuke J., & Voelcker N. H. (2016).  Synergistic influence of collagen I and BMP 2 drives osteogenic differentiation of mesenchymal stem cells: A cell microarray analysis. Acta Biomaterialia. 34, 41-52. doi: 10.1016/j.actbio.2015.07.027
Ryan, E. G., Drovandi C. C., McGree J., & Pettitt A.N. (2016).  A Review of Modern Computational Algorithms for Bayesian Optimal Design. International Statistical Review. 84(1), 128-154. doi: 10.1111/insr.12107
Anees, A., Aryal J., O'Reilly MM., Gale T. J., & Wardlaw T. (2016).  A robust multi-kernel change detection framework for detecting leaf beetle defoliation using Landsat 7 ETM+ data. ISPRS Journal of Photogrammetry and Remote Sensing. 122, 167-178. doi: 10.1016/j.isprsjprs.2016.10.011
Delaigle, A., & Hall P. (2016).  Methodology for non-parametric deconvolution when the error distribution is unknown. Journal of the Royal Statistical Society: Series B (Statistical Methodology). 78(1), 231-252. doi: 10.1111/rssb.12109
Brown, R., Bruza P., Heard W., Mengersen KL., & Murray J. (2016).  On the (virtual) getting of wisdom: Immersive 3D interfaces for eliciting spatial information from experts. Spatial Statistics. 18(Part A), 318-331. doi: 10.1016/j.spasta.2016.07.001
Oates, C., Papamarkou T., & Girolami M. (2016).  The controlled thermodynamic integral for Bayesian model evidence evaluation. Journal of the American Statistical Association. 111(514), 634-645. doi: 10.1080/01621459.2015.1021006
Ballard, P. G., Bean N. G., & Ross J. V. (2016).  The probability of epidemic fade-out is non-monotonic in transmission rate for the Markovian SIR model with demography. Journal of Theoretical Biology. 393, 170-178. doi: 10.1016/j.jtbi.2016.01.012
Buchmann, B., Fan Y., & Maller R. A. (2016).  Distributional representations and dominance of a Lévy process over its maximal jump processes. Bernoulli. 22(4), 2325-2371. doi: 10.3150/15-BEJ731
Qin, S., Liu F., Turner I., Yu Q., Yang Q., & Vegh V. (2016).   Characterization of anomalous relaxation using the time-fractional Bloch equation and multiple echo T *-weighted magnetic resonance imaging at 7 T . Magnetic Resonance in Medicine. doi: 10.1002/mrm.26222
Hsieh, J. C., Cramb S., McGree J., Dunn N. A. M., Baade P. D., & Mengersen KL. (2016).  Spatially varying coefficient inequalities: Evaluating how the impact of patient characteristics on breast cancer survival varies by location. PLOS ONE. 11(5),  doi: 10.1371/journal.pone.0155086
Wijesiri, B., Egodawatta P., McGree J., & Goonetilleke A. (2016).  Understanding the uncertainty associated with particle-bound pollutant build-up and wash-off: A critical review. Water Research. 101, 582-596. doi: 10.1016/j.watres.2016.06.013
Zhao, Y., Zhang Y., Liu F., Turner I., Tang Y., & Anh V. (2016).  Convergence and superconvergence of a fully-discrete scheme for multi-term time fractional diffusion equations. Computers & Mathematics with Applications. doi: 10.1016/j.camwa.2016.05.005
Doosti, H., & Hall P. (2016).  Making a non-parametric density estimator more attractive, and more accurate, by data perturbation. Journal of the Royal Statistical Society: Series B (Statistical Methodology). 78(2), 445-462. doi: 10.1111/rssb.12120
Delorme, P., P. de Micheaux L., Liquet B., & Riou J. (2016).  Type-II generalized family-wise error rate formulas with application to sample size determination. Statistics in Medicine. 35(16), 2687-2714. doi: 10.1002/sim.6909
Guttmann, A., Jensen I., Maillard J. M., & Pantone J. (2016).  Is the full susceptibility of the square-lattice Ising model a differentially algebraic function?. Journal of Physics A: Mathematical and Theoretical. 49(50),  doi: 10.1088/1751-8113/49/50/504002
Beaudequin, D., Harden F., Roiko A., & Mengersen KL. (2016).  Utility of Bayesian networks in QMRA-based evaluation of risk reduction options for recycled water. Science of The Total Environment. 541, 1393-1409. doi: 10.1016/j.scitotenv.2015.10.030
Forrester, P., & Liu D. (2016).  Singular values for products of complex Ginibre matrices with a source: Hard edge limit and phase transition. Communications in Mathematical Physics. 344(1), 333-368. doi: 10.1007/s00220-015-2507-5
Huang, X., Clements A., Williams G., Mengersen KL., Tong S., & Hu W. (2016).  Bayesian estimation of the dynamics of pandemic (H1N1) 2009 influenza transmission in Queensland: A space–time SIR-based model. Environmental Research. 146, 308-314. doi: 10.1016/j.envres.2016.01.013
Reddan, T., Corness J., Powell J., Harden F., & Mengersen KL. (2016).  Stumped? It could be stump appendicitis. Sonography. doi: 10.1002/sono.12098
Tran, M., Nott D., Kuk A., & Kohn R. (2016).  Parallel variational Bayes for large datasets with an application to generalized linear mixed models. Journal of Computational and Graphical Statistics. 25(2), 626-646. doi: 10.1080/10618600.2015.1012293
McGrory, C.A., Pettitt A.N., Titterington D.M., Alston C.L., & Kelly M. (2016).  Transdimensional sequential Monte Carlo using variational Bayes — SMCVB. Computational Statistics & Data Analysis. 93, 246-254. doi: 10.1016/j.csda.2015.03.006
Hargrave, C., Mason N., Guidi R., Miller J-A., Becker J., Moores M., et al. (2016).   Automated replication of cone beam CT-guided treatments in the Pinnacle treatment planning system for adaptive radiotherapy . Journal of Medical Radiation Sciences. 63(1), 48-58. doi: 10.1002/jmrs.141
Vaisman, R., Kroese D. P., & Gertsbakh I. B. (2016).  Splitting sequential Monte Carlo for efficient unreliability estimation of highly reliable networks. Structural Safety. 63, 1 - 10. doi: 10.1016/j.strusafe.2016.07.001
Heinrich, S., Wittmann T. A., Prowse T. A. A., Ross J. V., Delean S., Shepherd C. R., et al. (2016).  Where did all the pangolins go? International CITES trade in pangolin species. Global Ecology and Conservation. 8, 241-253. doi: 10.1016/j.gecco.2016.09.007
Kenway, S. J., Binks A., Scheidegger R., Bader H.P., Pamminger F., Lant P., et al. (2016).  Household analysis identifies water-related energy efficiency opportunities. Energy and Buildings. 131, 21-34. doi: 10.1016/j.enbuild.2016.09.008
Waller, D., Mondy P., Brama T., Fisher J., King A., Malkov K., et al. (2016).  Determining the effect of vein visualization technology on donation success, vasovagal symptoms, anxiety and intention to re-donate in whole blood donors aged 18-30 years: A randomized controlled trial. Vox Sanguinis. 111(2), 135-143. doi: 10.1111/vox.12407
Geweke, J. (2016).  Comment on: Reflections on the probability space induced by moment conditions with implications for Bayesian inference. Journal of Financial Econometrics. 14(2), 253-257. doi: 10.1093/jjfinec/nbv011
de Gier, J., Feher G. Z., Nienhuis B., & Rusaczonek M. (2016).  Integrable supersymmetric chain without particle conservation. Journal of Statistical Mechanics: Theory and Experiment. 2016(2),  doi: 10.1088/1742-5468/2016/02/023104
Kiley, D. P., Reagan A. J., Mitchell L., Danforth C. M., & Dodds P. S. (2016).  Game story space of professional sports: Australian rules football. Physical Review E. 93(5),  doi: 10.1103/PhysRevE.93.052314
Tuyl, F., Gerlach R., & Mengersen KL. (2016).  Consensus priors for multinomial and binomial ratios. Journal of Statistical Theory and Practice. 10(4), 736-754. doi: 10.1080/15598608.2016.1219684
Dini, S., Binder B. J., Fischer S. C., Mattheyer C., Schmitz A., Stelzer E. H. K., et al. (2016).  Identifying the necrotic zone boundary in tumour spheroids with pair-correlation functions. Journal of The Royal Society Interface. 13(123),  doi: 10.1098/rsif.2016.0649
Maillardet, R. J., & Taylor P. (2016).  Queues with advanced reservations: An infinite-server proxy for the bookings diary. Advances in Applied Probability. 48(01), 13-31. doi: 10.1017/apr.2015.4
Kim, A. S. I., & Wand M. (2016).  The explicit form of expectation propagation for a simple statistical model. Electronic Journal of Statistics. 10(1), 550-581. doi: 10.1214/16-EJS1114
Duan, Q., & Kroese D. P. (2016).  Splitting for optimization. Computers & Operations Research. 73, 119 - 131. doi: 10.1016/j.cor.2016.04.015
Turschwell, M. P., Peterson E., Balcombe S. R., & Sheldon F. (2016).  To aggregate or not? Capturing the spatio-temporal complexity of the thermal regime. Ecological Indicators. 67, 39-48. doi: 10.1016/j.ecolind.2016.02.014
Spettl, A., Brereton T., Duan Q., Werz T., Krill C. E., Kroese D., et al. (2016).  Fitting Laguerre tessellation approximations to tomographic image data. Philosophical Magazine. 96(2), 166-189. doi: 10.1080/14786435.2015.1125540
McVinish, R., Pollett P., & Shausan A. (2016).  Limiting the spread of disease through altered migration patterns. Journal of Theoretical Biology. 393, 60-66. doi: 10.1016/j.jtbi.2015.12.019
Schiffner, I., Perez T., Srinivasan M. V., & Osorio D. (2016).  Strategies for pre-emptive mid-air collision avoidance in budgerigars. PLOS ONE. 11(9),  doi: 10.1371/journal.pone.0162435
Lorenz, R., Pitman A. J., & Sisson S. (2016).  Does Amazonian deforestation cause global effects; can we be sure?. Journal of Geophysical Research: Atmospheres. 121(10), 5567-5584. doi: 10.1002/2015JD024357
Walton, D. C., Hiho S. J., Cantwell L. S., Diviney M. B., Wright ST., Snell G. I., et al. (2016).  HLA matching at the eplet level protects against chronic lung allograft dysfunction. American Journal of Transplantation. 16(9), 2695-2703. doi: 10.1111/ajt.13798
Niu, Y., Burrage K., & Chen L. (2016).  Modelling biochemical reaction systems by stochastic differential equations with reflection. Journal of Theoretical Biology. 396, 90-104. doi: 10.1016/j.jtbi.2016.02.010
Delacroix, S., Chokka R., Nelson A., Sidharta S., Teo K., Tuke J., et al. (2016).  Safety and efficacy of pro ANP 31-67 in cardiorenal syndrome: A first-in-human trial. Journal of the American College of Cardiology. 67(13),  doi: 10.1016/S0735-1097(16)31352-3
Anees, A., Aryal J., O'Reilly MM., & Gale T. J. (2016).  A relative density ratio-based framework for detection of land cover changes in MODIS NDVI time series. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 9(8), 3359-3371. doi: 10.1109/JSTARS.2015.2428306
Peköz, E. A., Röllin A., & Ross N. (2016).  Generalized gamma approximation with rates for urns, walks and trees. The Annals of Probability. 44(3), 1776-1816. doi: 10.1214/15-AOP1010
Oates, C., Smith J. Q., & Mukherjee S. (2016).  Estimating causal structure using conditional DAG models. Journal of Machine Learning Research. 17(54), 1-23.
Bean, N. G., Eshragh A., & Ross J. V. (2016).  Fisher Information for a partially observable simple birth process. Communications in Statistics - Theory and Methods. 45(24), 7161-7183. doi: 10.1080/03610926.2014.978024
Qiu, Z., & Perez J. F. (2016).  Evaluating replication for parallel jobs: An efficient approach. IEEE Transactions on Parallel and Distributed Systems. 27(8), 2288-2302. doi: 10.1109/TPDS.2015.2496593
Zhang, H., Liu F., Turner I., & Yang Q. (2016).  Numerical solution of the time fractional Black–Scholes model governing European options. Computers & Mathematics with Applications. 71(9), 1772-1783. doi: 10.1016/j.camwa.2016.02.007
Baade, P. D., Cramb S., Dasgupta P., & Youlden D. (2016).  Estimating cancer survival - improving accuracy and relevance. Australian and New Zealand Journal of Public Health. 40(5), 403-404. doi: 10.1111/1753-6405.12610
Wijesiri, B., Egodawatta P., McGree J., & Goonetilleke A. (2016).  Influence of uncertainty inherent to heavy metal build-up and wash-off on stormwater quality. Water Research. 91, 264-276. doi: 10.1016/j.watres.2016.01.028
Yuan, Z. B., Nie Y. F., Liu F., Turner I., Zhang G. Y., & Gu Y. T. (2016).  An advanced numerical modeling for Riesz space fractional advection–dispersion equations by a meshfree approach. Applied Mathematical Modelling. 40(17-18), 7816-7829. doi: 10.1016/j.apm.2016.03.036
Claeskens, G., Dette H., Gijbels I., & Hall P. (2016).  New developments in functional and highly multivariate statistical methodology. Oberwolfach Reports. 13(1), 567-614. doi: 10.4171/OWR/2016/12
Liquet, B., Bottolo L., Campanella G., Richardson S., & Chadeau-Hyam M. (2016).  A graphics processing unit-based package for Bayesian variable selection regression of multivariate responses . Journal of Statistical Software. 69(2),  doi: 10.18637/jss.v069.i02
Pudney, P., & White G. (2016).  The impact of missing or incorrect addresses. ANZIAM Journal. 57, 115-129. doi: 10.21914/anziamj.v57i0.10263
Ashcroft, M. B., Casanova-Katny A., Mengersen KL., Rosenstiel T. N. A., Turnbull J. D., Wasley J., et al. (2016).  Bayesian methods for comparing species physiological and ecological response curves. Ecological Informatics. 34, 35-43. doi: 10.1016/j.ecoinf.2016.03.001
Bornemann, F., & Forrester P. (2016).  Singular values and evenness symmetry in random matrix theory. Forum Mathematicum. 28(5), 873-891. doi: 10.1515/forum-2015-0055
Betea, D., & Wheeler M. (2016).  Refined Cauchy and Littlewood identities, plane partitions and symmetry classes of alternating sign matrices. Journal of Combinatorial Theory, Series A. 137, 126-165. doi: 10.1016/j.jcta.2015.08.007
Ryan, L. M., Wand M., & Malecki A. A. (2016).  Bringing coals to Newcastle. Significance. 13(6), 32-37. doi: 10.1111/j.1740-9713.2016.00982.x
Lester, R. J. G., & McVinish R. (2016).  Does moving up a food chain increase aggregation in parasites?. Journal of The Royal Society Interface. 13(118),  doi: 10.1098/rsif.2016.0102
Drovandi, C. C., Cusimano N., Psaltis S. T. P., Lawson B. A. J., Pettitt A.N., Burrage P., et al. (2016).  Sampling methods for exploring between-subject variability in cardiac electrophysiology experiments. Journal of The Royal Society Interface. 13(121),  doi: 10.1098/rsif.2016.0214
Bertling, K., Taimre T., Agnew G., Lim Y. L., Dean P., Indjin D., et al. (2016).  Simple electrical modulation scheme for laser feedback imaging. IEEE Sensors Journal. 16(7), 1937-1942. doi: 10.1109/JSEN.2015.2507184
Soubrier, J., Gower G., Chen K., Richards S. M., Llamas B., Mitchell K. J., et al. (2016).  Early cave art and ancient DNA record the origin of European bison. Nature Communications. 7, doi: 10.1038/ncomms13158
Bateman, H., Eckert C., Geweke J., Louviere J., Satchell S., & Thorp S. (2016).  Risk presentation and portfolio choice. Review of Finance. 20(1), 201-229. doi: 10.1093/rof/rfv001
Zamora, C. A., Oshmyansky A., Bembea M., Berkowitz I., Alqahtani E., Liu S., et al. (2016).  Resistive index variability in anterior cerebral artery measurements during daily transcranial duplex sonography: A predictor of cerebrovascular complications in infants undergoing extracorporeal membrane oxygenation?. Journal of Ultrasound in Medicine. 35(11), 2459-2465. doi: 10.7863/ultra.15.09046
Carr, E. J., Perré P., & Turner I. (2016).  The extended distributed microstructure model for gradient-driven transport: A two-scale model for bypassing effective parameters. Journal of Computational Physics. 327, 810-829. doi: 10.1016/
de Gier, J., & Wheeler M. (2016).  A summation formula for Macdonald polynomials. Letters in Mathematical Physics. 106(3), 381-394. doi: 10.1007/s11005-016-0820-3
Thomas, R., Walland M., Thomas A., & Mengersen KL. (2016).  Lowering of intraocular pressure after phacoemulsification in primary open-angle and angle-closure glaucoma. Asia-Pacific Journal of Ophthalmology. 5(1), 79-84. doi: 10.1097/APO.0000000000000174
Zhang, L., & Wirth A. (2016).  Online machine scheduling with family setups. Asia-Pacific Journal of Operational Research. 33(4), 1-1. doi: 10.1142/S0217595916500275
McGarvey, R., Matthews J. M., Feenstra J., Punt A. E., & Linnane A. (2016).  Using bioeconomic modeling to improve a harvest strategy for a quota-based lobster fishery. Fisheries Research. 183, 549-558. doi: 10.1016/j.fishres.2016.05.005
Göbel, J., Keeler H., Krzesinski A. E., & Taylor P. (2016).  Bitcoin blockchain dynamics: The selfish-mine strategy in the presence of propagation delay. Performance Evaluation. 104, 23-41. doi: 10.1016/j.peva.2016.07.001
Spettl, A.., Brereton T.., Duan Q.., Werz T.., Krill C.. E., Kroese D.. P., et al. (2016).  Fitting Laguerre tessellation approximations to tomographic image data. Philosophical Magazine. 96(2), 166 - 189. doi: 10.1080/14786435.2015.1125540
E. Steel, A., Sowder C., & Peterson E. (2016).  Spatial and temporal variation of water temperature regimes on the Snoqualmie river network. JAWRA Journal of the American Water Resources Association. 52(3), 769-787. doi: 10.1111/1752-1688.12423
Mowla, A., Taimre T., Lim Y., Bertling K., Wilson S., Prow T., et al. (2016).  Concurrent reflectance confocal microscopy and laser Doppler flowmetry to improve skin cancer imaging: A Monte Carlo model and experimental validation. Sensors. 16(9),  doi: 10.3390/s16091411
McVinish, R., Pollett P., & Chan Y. S. (2016).  A metapopulation model with Markovian landscape dynamics. Theoretical Population Biology. 112, 80-96. doi: 10.1016/j.tpb.2016.08.005
Johansen, T. A., Perez T., & Cristofaro A. (2016).  Ship collision avoidance and COLREGS compliance using simulation-based control behavior selection with predictive hazard assessment. IEEE Transactions on Intelligent Transportation Systems. 17(12), 3407-3422. doi: 10.1109/TITS.2016.2551780
Clark, S., Sisson S., & Sharma A. (2016).  A dimension range representation (DRR) measure for self-organizing maps. Pattern Recognition. 53, 276-286. doi: 10.1016/j.patcog.2015.11.002
Mendez-Rebolledo, G., Gatica-Rojas V., Martinez-Valdes E., & Xie H. (2016).  The recruitment order of scapular muscles depends on the characteristics of the postural task. Journal of Electromyography and Kinesiology. 31, 40-47. doi: 10.1016/j.jelekin.2016.09.001
Muszkiewicz, A., Britton O. J., Gemmell P., Passini E., Sánchez C., Zhou X., et al. (2016).  Variability in cardiac electrophysiology: Using experimentally-calibrated populations of models to move beyond the single virtual physiological human paradigm. Progress in Biophysics & Molecular Biology.. 120(1-3), 115-127. doi: 10.1016/j.pbiomolbio.2015.12.002
Musk, G. C., Laurence M., Collins T., Tuke J., & Hyndman T. (2016).  Mechanical nociceptive threshold testing in Bos indicus bull calves. Animal Production Science. doi: 10.1071/AN15441
Dodds, P. S., Mitchell L., Reagan A. J., Danforth C. M., & Shaman J. (2016).  Tracking climate change through the spatiotemporal dynamics of the teletherms, the statistically hottest and coldest days of the year. PLOS ONE. 11(5),  doi: 10.1371/journal.pone.0154184
Margolius, B., & O'Reilly MM. (2016).  The analysis of cyclic stochastic fluid flows with time-varying transition rates. Queueing Systems. 82(1-2), 43-73. doi: 10.1007/s11134-015-9456-8
Keeler, H., Ross N., Xia A., & Blaszczyszyn B. (2016).  Stronger wireless signals appear more Poisson. IEEE Wireless Communications Letters. 5(6), 572-575. doi: 10.1109/LWC.2016.2601913
Xie, H., Dokos S., Sivakumar B., & Mengersen KL. (2016).  Symplectic geometry spectrum regression for prediction of noisy time series. Physical Review E. 93(5),  doi: 10.1103/PhysRevE.93.052217
Harjanto, D., Papamarkou T., Oates C., Rayon-Estrada V., Papavasiliou F. N., & Papavasiliou A. (2016).  RNA editing generates cellular subsets with diverse sequence within populations. Nature Communications. 7, 12145-12145. doi: 10.1038/ncomms12145
Min, Q., Brown J., Padmadas S., Bohua L., Jianan Q., & Falkingham J. (2016).  Gender inequalities in employment and wage-earning among economic migrants in Chinese cities. Demographic Research. 34, 175-202. doi: 10.4054/DemRes.2016.34.6
Ipsen, J., & Schomerus H. (2016).  Isotropic Brownian motions over complex fields as a solvable model for May–Wigner stability analysis. Journal of Physics A: Mathematical and Theoretical. 49(38),  doi: 10.1088/1751-8113/49/38/385201
Farquhar, M. E., Moroney T. J., Yang Q., & Turner I. (2016).  GPU accelerated algorithms for computing matrix function vector products with applications to exponential integrators and fractional diffusion. SIAM Journal on Scientific Computing. 38(3),  doi: 10.1137/15M1021672
Baade, P. D., Dasgupta P., Dickman P. W., Cramb S., Williamson J. D., Condon J. R., et al. (2016).  Quantifying the changes in survival inequality for Indigenous people diagnosed with cancer in Queensland, Australia. Cancer Epidemiology. 43, 1-8. doi: 10.1016/j.canep.2016.05.002
Redman, A. L., Bailleres H., Turner I., & Perré P. (2016).  Characterisation of wood–water relationships and transverse anatomy and their relationship to drying degrade. Wood Science and Technology. 50(4), 739-757. doi: 10.1007/s00226-016-0818-0
Chen, F., & Hall P. (2016).  Nonparametric estimation for self-exciting point processes—A parsimonious approach. Journal of Computational and Graphical Statistics. 25(1), 209-224. doi: 10.1080/10618600.2014.1001491
Chong, H. P., Cordeaux Y., Ranjan Y. S., Richardson S., Liquet B., Smith G. C., et al. (2016).  Age-related changes in murine myometrial transcript profile are mediated by exposure to the female sex hormones. Aging Cell. 15(1), 177-180. doi: 10.1111/acel.12406
Wheeler, M., & Zinn-Justin P. (2016).  Refined Cauchy/Littlewood identities and six-vertex model partition functions: III. Deformed bosons. Advances in Mathematics. 299, 543-600. doi: 10.1016/j.aim.2016.05.010
Delaigle, A. (2016).  Peter Hall’s main contributions to deconvolution. The Annals of Statistics. 44(5), 1854-1866. doi: 10.1214/16-AOS1491
Reddan, T., Corness J., Mengersen KL., & Harden F. (2016).  Sonographic diagnosis of acute appendicitis in children: A 3-year retrospective. Sonography. 3(3), 87-94. doi: 10.1002/sono.12068
Lagerstrom, R., Arzhaeva Y., Szul P., Obst O., Power R., Robinson B., et al. (2016).  Image classification to support emergency situation awareness. Frontiers in Robotics and AI. 3, doi: 10.3389/frobt.2016.00054
Mowla, A., Taimre T., Lim Y. L., Bertling K., Wilson S. J., Prow T. W., et al. (2016).  Diffuse reflectance imaging for non-melanoma skin cancer detection using laser feedback interferometry. Proc. SPIE 9887. doi: 10.1117/12.2227449
Llamas, B., Fehren-Schmitz L., Valverde G., Soubrier J., Mallick S., Rohland N., et al. (2016).  Ancient mitochondrial DNA provides high-resolution time scale of the peopling of the Americas. Science Advances. 2(4),  doi: 10.1126/sciadv.1501385
Wijesiri, B., Egodawatta P., McGree J., & Goonetilleke A. (2016).  Assessing uncertainty in stormwater quality modelling. Water Research. 103, 10-20. doi: 10.1016/j.watres.2016.07.011
Carr, E. J., & Turner I. (2016).  A semi-analytical solution for multilayer diffusion in a composite medium consisting of a large number of layers. Applied Mathematical Modelling. 40(15-16), 7034-7050. doi: 10.1016/j.apm.2016.02.041
Latouche, G., & Nguyen G. (2016).  Feedback control: Two-sided Markov-modulated Brownian motion with instantaneous change of phase at boundaries. Performance Evaluation. 106, 30-49. doi: 10.1016/j.peva.2016.09.004
Cantini, L., Garbali A., de Gier J., & Wheeler M. (2016).  Koornwinder polynomials and the stationary multi-species asymmetric exclusion process with open boundaries. Journal of Physics A: Mathematical and Theoretical. 49(44),  doi: 10.1088/1751-8113/49/44/444002
Forrester, P., & Ipsen J. (2016).  Real eigenvalue statistics for products of asymmetric real Gaussian matrices. Linear Algebra and its Applications. 510, 259-290. doi: 10.1016/j.laa.2016.08.015
Forrester, P., & Kieburg M. (2016).  Relating the Bures measure to the Cauchy two-matrix model. Communications in Mathematical Physics. 342(1), 151-187. doi: 10.1007/s00220-015-2435-4
Thomas, R., Mengersen KL., Thomas A., & Walland M. J. (2016).  Association between location of laser iridotomy and frequency of visual symptoms: a Bayesian learning analysis. Clinical & Experimental Ophthalmology. 44(3), 215-217. doi: 10.1111/ceo.12667
Kutadinata, R., Moase W., Manzie C., Zhang L., & Garoni T. (2016).  Enhancing the performance of existing urban traffic light control through extremum-seeking. Transportation Research Part C: Emerging Technologies. 62, 1-20. doi: 10.1016/j.trc.2015.10.016
Tran, M., Pitt M. K., & Kohn R. (2016).  Adaptive Metropolis–Hastings sampling using reversible dependent mixture proposals. Statistics and Computing. 26(1-2), 361-381. doi: 10.1007/s11222-014-9509-6
Delaigle, A., & Wand M. (2016).  A conversation with Peter Hall. Statistical Science. 31(2), 275-304. doi: 10.1214/16-STS554
Isaak, D. J., Young M. K., Luce C. H., Hostetler S. W., Wenger S. J., Peterson E., et al. (2016).  Slow climate velocities of mountain streams portend their role as refugia for cold-water biodiversity. Proceedings of the National Academy of Sciences. 113(16), 4374-4379. doi: 10.1073/pnas.1522429113
Agnew, G., Grier A., Taimre T., Lim Y. L., Bertling K., Ikonić Z., et al. (2016).  Model for a pulsed terahertz quantum cascade laser under optical feedback. Optics Express. 24(18),  doi: 10.1364/OE.24.020554
Abbasi-Yadkori, Y., Bartlett P.L., & Gabillon V. (2016).  Hit-and-run for sampling and planning in non-convex spaces.
Sa, I., Ge Z., Dayoub F., Upcroft B., Perez T., & McCool C. (2016).  DeepFruits: A fruit detection system using deep neural networks. Sensors. 16(8),  doi: 10.3390/s16081222
Garthwaite, P. H., Fan Y., & Sisson S. (2016).  Adaptive optimal scaling of Metropolis-Hastings algorithms using the Robbins-Monro process. Communications in Statistics - Theory and Methods. 45(17), 5098-5111. doi: 10.1080/03610926.2014.936562
Jiang, J., & Xie H. (2016).  Denoising nonlinear time series using singular spectrum analysis and fuzzy entropy. Chinese Physics Letters. 33(10),  doi: 10.1088/0256-307X/33/10/100501
Bueno-Orovio, A., Teh I., Schneider J. E., Burrage K., & Grau V. (2016).  Anomalous diffusion in cardiac tissue as an index of myocardial microstructure. IEEE Transactions on Medical Imaging. 35(9), 2200-2207. doi: 10.1109/TMI.2016.2548503
Chen, K., Glonek G., Hansen A., Williams S., Tuke J., Salter A., et al. (2016).  The effects of air pollution on asthma hospital admissions in Adelaide, South Australia, 2003-2013: Time-series and case-crossover analyses. Clinical & Experimental Allergy. 46(11), 1416-1430. doi: 10.1111/cea.12795
Mitchell, L., & Ross J. V. (2016).  A data-driven model for influenza transmission incorporating media effects. Royal Society Open Science. 3(10),  doi: 10.1098/rsos.160481
Ross, N., & Schuhmacher D. (2016).  Wireless network signals with moderately correlated shadowing still appear Poisson. IEEE Transactions on Information Theory. 63(2), 1177-1198. doi: 10.1109/TIT.2016.2629482
Xie, G., Roiko A., Stratton H., Lemckert C., Dunn P. K., & Mengersen KL. (2016).  A generalized QMRA beta-Poisson dose-response model. Risk Analysis. 36(10), 1948-1958. doi: 10.1111/risa.12561
Oates, C., Girolami M., & Chopin N. (2016).  Control functionals for Monte Carlo integration. Journal of the Royal Statistical Society: Series B (Statistical Methodology). doi: 10.1111/rssb.12185
Carter, D. J., Brown J., & Rahmani A. (2016).  Reading the High Court at a distance: Topic modelling the legal subject matter and judicial activity of the High Court of Australia, 1903–2015. University of New South Wales Law Journal. 39(4), 1300-1354.
Rohde, D., & Wand M. (2016).  Semiparametric mean field variational Bayes: General principles and numerical issues. Journal of Machine Learning Research. 17(172), 
Cramb, S., Mengersen KL., & Baade P. D. (2016).  Spatio-temporal relative survival of breast and colorectal cancer in Queensland, Australia 2001–2011. Spatial and Spatio-temporal Epidemiology. 19, 103-114. doi: 10.1016/j.sste.2016.08.002
Hautphenne, S., & Latouche G. (2016).  Lyapunov exponents for branching processes in a random environment: The effect of information. Journal of Statistical Physics. 163(2), 393-410. doi: 10.1007/s10955-016-1474-3
Giles, M., Zapata M. C., Wright ST., Petoumenos K., Grotowski M., Broom J., et al. (2016).  How do outcomes compare between women and men living with HIV in Australia? An observational study. Sexual Health. 13(2), 155-161. doi: 10.1071/SH15124
Lukyanenko, I., Isaac P. S., & Links J. (2016).   An integrable case of the + i pairing Hamiltonian interacting with its environment . Journal of Physics A: Mathematical and Theoretical. 49(8),  doi: 10.1088/1751-8113/49/8/084001
Gonzalez, L., Montes G., Puig E., Johnson S., Mengersen KL., & Gaston K. (2016).  Unmanned Aerial Vehicles (UAVs) and artificial intelligence revolutionizing wildlife monitoring and conservation. Sensors. 16(1),  doi: 10.3390/s16010097
Clisby, N., Conway A. R., & Guttmann A. (2016).  Three-dimensional terminally attached self-avoiding walks and bridges. Journal of Physics A: Mathematical and Theoretical. 49(1),  doi: 10.1088/1751-8113/49/1/015004
Delaigle, A., Hall P., & Zhou W-X. (2016).  Nonparametric covariate-adjusted regression. The Annals of Statistics. 44(5), 2190-2220. doi: 10.1214/16-AOS1442
Kang, S. Y., McGree J., Drovandi C. C., M. Caley J., & Mengersen KL. (2016).  Bayesian adaptive design: Improving the effectiveness of monitoring of the Great Barrier Reef. Ecological Applications. 26(8), 2637-2648. doi: 10.1002/eap.1409
Cope, R. C., Ross J. V., Wittmann T. A., Prowse T. A. A., & Cassey P. (2016).  Integrative analysis of the physical transport network into Australia. PLOS ONE. 11(2),  doi: 10.1371/journal.pone.0148831
Rakic, A.D., Herbert J., Taimre T., & Wilson S. (2016).  FPGA implementation of a high-speed, real-time, windowed standard deviation filter. Electronics Letters. 52(1), 22-23. doi: 10.1049/el.2015.2407
Vaisman, R., Kroese D., & Gertsbakh I. B. (2016).  Splitting sequential Monte Carlo for efficient unreliability estimation of highly reliable networks. Structural Safety. 63, 1-10. doi:
de Gier, J., Jacobsen J., & Ponsaing A. (2016).  Finite-size corrections for universal boundary entropy in bond percolation. SciPost Physics. 1(2),  doi: 10.21468/SciPostPhys.1.2.012
Amarasinghe, P., Liu A., Egodawatta P., Barnes P., McGree J., & Goonetilleke A. (2016).  Quantitative assessment of resilience of a water supply system under rainfall reduction due to climate change. Journal of Hydrology. 540, 1043-1052. doi: 10.1016/j.jhydrol.2016.07.021
Zhao, Y. M., Zhang Y. D., Liu F., Turner I., & Shi D. Y. (2016).  Analytical solution and nonconforming finite element approximation for the 2D multi-term fractional subdiffusion equation. Applied Mathematical Modelling. 40(19-20), 8810-8825. doi: 10.1016/j.apm.2016.05.039
Hall, P., & Hooker G. (2016).  Truncated linear models for functional data. Journal of the Royal Statistical Society: Series B (Statistical Methodology). 78(3), 637-653. doi: 10.1111/rssb.12125
Liquet, B., & Saracco J. (2016).  BIG-SIR: A Sliced Inverse Regression approach for massive data. Statistics and Its Interface. 9(4), 509-520. doi: 10.4310/SII.2016.v9.n4.a10
Lydeamore, M., Bean N. G., Black A. J., & Ross J. V. (2016).  Choice of antiviral allocation scheme for pandemic influenza depends on strain transmissibility, delivery delay and stockpile size. Bulletin of Mathematical Biology. 78(2), 293-321. doi: 10.1007/s11538-016-0144-6
Forrester, P., & Grela J. (2016).  Hydrodynamical spectral evolution for random matrices. Journal of Physics A: Mathematical and Theoretical. 49(8),  doi: 10.1088/1751-8113/49/8/085203
Mengersen, KL., Drovandi C. C., Robert C. P., Pyne D. B., Gore C. J., & Chen C. W. S. (2016).  Bayesian estimation of small effects in exercise and sports science. PLOS ONE. 11(4), 1-23. doi: 10.1371/journal.pone.0147311
Scheinhardt, W. R. W., & Kroese D. (2016).  A comparison of random walks in dependent random environments. Advances in Applied Probability. 48(01), 199-214. doi: 10.1017/apr.2015.13
Ranathunga, D., Roughan M., Nguyen H., Kernick P., & Falkner N. (2016).  Case studies of SCADA firewall configurations and the implications for best practices. IEEE Transactions on Network and Service Management. 13(4), 871-884. doi: 10.1109/TNSM.2016.2597245
Del Moral, P., Kohn R., & Patras F. (2016).  On particle Gibbs samplers. Annales de l'IHP-Probabilités et Statistiques. 52(4), 1687-1733. doi: 10.1214/15-AIHP695
Ryan, C. M., Drovandi C. C., & Pettitt A.N. (2016).  Optimal Bayesian experimental design for models with intractable likelihoods using indirect inference applied to biological process models. Bayesian Analysis. 11(3), 857-883. doi: 10.1214/15-BA977
Huque, MH., Carroll R. J., Diao N., Christiani D. C., & Ryan L. M. (2016).  Exposure Enriched Case-Control (EECC) design for the assessment of gene-environment interaction. Genetic Epidemiology. 40(7), 570-578. doi: 10.1002/gepi.21986
Vaisman, R., Kroese D. P., & Gertsbakh I. B. (2016).  Improved Sampling Plans for Combinatorial Invariants of Coherent Systems. IEEE Transactions on Reliability. 65(1), 410 - 424. doi: 10.1109/TR.2015.2446471
Grier, A., Dean P., Valavanis A., Keeley J., Kundu I., Cooper J. D., et al. (2016).  Origin of terminal voltage variations due to self-mixing in terahertz frequency quantum cascade lasers. Optics Express. 24(19),  doi: 10.1364/OE.24.021948
Gabillon, V., Lazaric A., Ghavamzadeh M., Ortner R., & Bartlett P.L. (2016).  Improved learning complexity in combinatorial pure exploration bandits. Journal of Machine Learning Research: Workshop & Conference Proceedings Series (19th International Conference on Artificial Intelligence and Statistics). 51,
Laub, P., Asmussen S., Jensen J. L., & Rojas-Nandayapa L. (2016).  Approximating the Laplace transform of the sum of dependent lognormals. Advances in Applied Probability. 48(A), 203-215. doi: 10.1017/apr.2016.50
Truong, L. T., Sarvi M., Currie G., & Garoni T. (2016).  Required traffic micro-simulation runs for reliable multivariate performance estimates. Journal of Advanced Transportation. 50(3), 296-314. doi: 10.1002/atr.1319
Xie, H., Zhou P., Guo T., Sivakumar B., Zhang X., & Dokos S. (2016).  Multiscale two-directional two-dimensional principal component analysis and its application to high-dimensional biomedical signal classification. IEEE Transactions on Biomedical Engineering. 63(7), 1416-1425. doi: 10.1109/TBME.2015.2436375
Fitzpatrick, B., Lamb D. W., & Mengersen KL. (2016).  Ultrahigh dimensional variable selection for interpolation of point referenced spatial data: A digital soil mapping case study. PLOS ONE. 11(9),  doi: 10.1371/journal.pone.0162489
Botev, Z. I., Ridder A., & Rojas-Nandayapa L. (2016).  Semiparametric cross entropy for rare-event simulation. Journal of Applied Probability. 53(03), 633-649. doi: 10.1017/jpr.2016.31
Forchini, G., & Peng B. (2016).  A conditional approach to panel data models with common shocks. Econometrics. 4(1),  doi: 10.3390/econometrics4010004
White, N., & Mengersen KL. (2016).  Predicting health programme participation: A gravity-based, hierarchical modelling approach. Journal of the Royal Statistical Society: Series C (Applied Statistics). 65(1), 145-166. doi: 10.1111/rssc.12111
Anderson, C., Lee D., & Dean N. (2016).  Bayesian cluster detection via adjacency modelling. Spatial and Spatio-temporal Epidemiology. 16, 11-20. doi: 10.1016/j.sste.2015.11.005
Fitzgerald, S. P., & Bean N. G. (2016).  The relationship between population T4/TSH set point data and T4/TSH physiology. Journal of Thyroid Research. 1-7. doi: 10.1155/2016/6351473
Mandjes, M., & Taylor P. (2016).  The running maximum of a level-dependent quasi-birth-and-death process. Probability in the Engineering and Informational Sciences. 30(02), 212-223. doi: 10.1017/S026996481500039X
Lee, C. Y. Y., & Wand M. (2016).  Streamlined mean field variational Bayes for longitudinal and multilevel data analysis. Biometrical Journal. 58(4), 868-895. doi: 10.1002/bimj.201500007
Dorr, G. J., Forster W. A., Mayo L. C., McCue S. W., Kempthorne D. M., Hanan J., et al. (2016).  Spray retention on whole plants: modelling, simulations and experiments. Crop Protection. 88, 118-130. doi: 10.1016/j.cropro.2016.06.003
Zhu, W., Ouyang J., Rakvongthai Y., Guehl N. J., Wooten D. W., G. Fakhri E., et al. (2016).  A Bayesian spatial temporal mixtures approach to kinetic parametric images in dynamic positron emission tomography. Medical Physics. 43(3), 1222-1234. doi: 10.1118/1.4941010
De La Mata, N. L., Cooper D. A., Russell D., Smith D., Woolley I., Sullivan M. O., et al. (2016).  Treatment durability and virological response in treatment-experienced HIV-positive patients on an integrase inhibitor-based regimen: an Australian cohort study. Sexual Health. 13(4), 335-344. doi: 10.1071/SH15210
Zhou, X., Bueno-Orovio A., Orini M., Hanson B., Hayward M., Taggart P., et al. (2016).  In vivo and in silico investigation into mechanisms of frequency dependence of repolarization alternans in human ventricular cardiomyocytes. Circulation Research. 118(2), 266-278. doi: 10.1161/CIRCRESAHA.115.307836
Siekmann, I., Fackrell M., Crampin E. J., & Taylor P. (2016).  Modelling modal gating of ion channels with hierarchical Markov models. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Science. 472(2192), 1-27. doi: 10.1098/rspa.2016.0122
Duncan, EW., White N., & Mengersen KL. (2016).  Bayesian spatiotemporal modelling for identifying unusual and unstable trends in mammography utilisation. BMJ Open. 6(5),  doi: 10.1136/bmjopen-2015-010253
Delaigle, A., Meister A., & Rombouts J. (2016).  Root-T consistent density estimation in GARCH models. Journal of Econometrics. 192(1), 55-63. doi: 10.1016/j.jeconom.2015.10.009
Reddan, T., Corness J., Mengersen KL., & Harden F. (2016).  Ultrasound of paediatric appendicitis and its secondary sonographic signs: Providing a more meaningful finding. Journal of Medical Radiation Sciences. 63(1), 59-66. doi: 10.1002/jmrs.154
Friel, N., Mira A., & Oates C. (2016).  Exploiting multi-core architectures for reduced-variance estimation with intractable likelihoods. Bayesian Analysis. 11(1), 215-245. doi: 10.1214/15-BA948
Han, S., Bertling K., Dean P., Keeley J., Barnett A. G., Lim Y., et al. (2016).  Laser feedback interferometry as a tool for analysis of granular materials at terahertz frequencies: Towards imaging and identification of plastic explosives. Sensors. 16(3),  doi: 10.3390/s16030352
Zhang, H., Liu F., Turner I., Chen S., & Yang Q. (2016).  Numerical simulation of a Finite Moment Log Stable model for a European call option. Numerical Algorithms. doi: 10.1007/s11075-016-0212-x
Cheng, T. D., Cramb S., Baade P. D., Youlden D. R., Nwogu C. J., & Reid M. E. (2016).  The international epidemiology of lung cancer: Latest trends, disparities, and tumor characteristics. Journal of Thoracic Oncology. 11(10), 1653-1671. doi: 10.1016/j.jtho.2016.05.021
Ma, Y., Egodawatta P., McGree J., Liu A., & Goonetilleke A. (2016).  Human health risk assessment of heavy metals in urban stormwater. Science of The Total Environment. 557-558, 764-772. doi: 10.1016/j.scitotenv.2016.03.067
Zhao, Y., Zhang Y., Shi D., Liu F., & Turner I. (2016).  Superconvergence analysis of nonconforming finite element method for two-dimensional time fractional diffusion equations. Applied Mathematics Letters. 59, 38-47. doi: 10.1016/j.aml.2016.03.005
Genton, M. G., & Hall P. (2016).  A tilting approach to ranking influence. Journal of the Royal Statistical Society: Series B (Statistical Methodology). 78(1), 77-97. doi: 10.1111/rssb.12102
Delaigle, A., & Zhou W-X. (2016).  Nonparametric and Parametric Estimators of Prevalence From Group Testing Data With Aggregated Covariates. Journal of the American Statistical Association. 110(512), 1785-1796. doi: 10.1080/01621459.2015.1054491
Liquet, B., P. de Micheaux L., Hejblum B. P., & Thiébaut R. (2016).  Group and sparse group partial least square approaches applied in genomics context. Bioinformatics. 32(1), 35-42. doi: 10.1093/bioinformatics/btv535
Jensen, I. (2016).  Square lattice self-avoiding walks and biased differential approximants. Journal of Physics A: Mathematical and Theoretical. 49(42),  doi: 10.1088/1751-8113/49/42/424003
Migliorati, M. De Antoni, Parton W. J., Del Grosso S. J., Grace P.R., Bell M. J., Strazzabosco A., et al. (2015).  Legumes or nitrification inhibitors to reduce N2O emissions from subtropical cereal cropping systems in Oxisols?. Agriculture, Ecosystems & Environment. 213, 228-240. doi: 10.1016/j.agee.2015.08.010
Forrester, P. (2015).  Diffusion processes and the asymptotic bulk gap probability for the real Ginibre ensemble. Journal of Physics A: Mathematical and Theoretical. 48(32), 324001. doi: 10.1088/1751-8113/48/32/324001
Barnett, A. G., Graves N., Clarke P., & Herbert D. (2015).  The impact of a streamlined funding application process on application time: two cross-sectional surveys of Australian researchers. BMJ Open. 5(1),  doi: 10.1136/bmjopen-2014-006912
Adams, M. P., Mallet D. G., Pettet G. J., & Brandner J. M. (2015).  Towards a Quantitative Theory of Epidermal Calcium Profile Formation in Unwounded Skin. PLOS ONE. 10(1),  doi: 10.1371/journal.pone.0116751
Hautphenne, S. (2015).  A Structured Markov Chain Approach to Branching Processes. Stochastic Models. 31(3), 403-432. doi: 10.1080/15326349.2015.1022264
Cantini, L., de Gier J., & Wheeler M. (2015).  Matrix product formula for Macdonald polynomials. Journal of Physics A: Mathematical and Theoretical. 48(38), 384001. doi: 10.1088/1751-8113/48/38/384001
Waugh, C. A., Timms P., Andrew D., Rawlinson G., Brumm J., Nilsson K., et al. (2015).  Comparison of subcutaneous versus intranasal immunization of male koalas (Phascolarctos cinereus) for induction of mucosal and systemic immunity against Chlamydia pecorum. Vaccine. 33(7), 855-860. doi: 10.1016/j.vaccine.2014.12.052
Baker, J., White N., & Mengersen KL. (2015).  Spatial modelling of type II diabetes outcomes: a systematic review of approaches used. Royal Society Open Science. 2(6), 140460. doi: 10.1098/rsos.140460
Jiang, Z., Mariethoz G., Farrell T., Schrank C., & Cox M. (2015).  Characterization of alluvial formation by stochastic modelling of paleo-fluvial processes: The concept and method. Journal of Hydrology. 524, 367-377. doi: 10.1016/j.jhydrol.2015.03.007
Cramb, S., Baade P. D., White N., Ryan L. M., & Mengersen KL. (2015).  Inferring lung cancer risk factor patterns through joint Bayesian spatio-temporal analysis. Cancer Epidemiology. 39(3), 430-439. doi: 10.1016/j.canep.2015.03.001
Xue, J-H., & Hall P. (2015).  Why Does Rebalancing Class-Unbalanced Data Improve AUC for Linear Discriminant Analysis?. IEEE Transactions on Pattern Analysis and Machine Intelligence. 37(5), 1109-1112. doi: 10.1109/TPAMI.2014.2359660
Nakagawa, S., Poulin R., Mengersen KL., Reinhold K., Engqvist L., Lagisz M., et al. (2015).  Meta-analysis of variation: ecological and evolutionary applications and beyond. Methods in Ecology and Evolution. 6(2), 143-152. doi: 10.1111/2041-210X.12309
Larue, G. S., Rakotonirainy A., & Pettitt A.N. (2015).  Predicting Reduced Driver Alertness on Monotonous Highways. IEEE Pervasive Computing. 14(2), 78-85. doi: 10.1109/MPRV.2015.38
Dong, C., Gao J., & Peng B. (2015).  Semiparametric single-index panel data models with cross-sectional dependence. Journal of Econometrics. 188(1), 301-312. doi: 10.1016/j.jeconom.2015.06.001
Ferrari, D., & Yang Y. (2015).  Confidence sets for model selection by F -testing. Statistica Sinica. doi: 10.5705/ss.2014.110
Clark, S., Sarlin P., Sharma A., & Sisson S. (2015).  Increasing dependence on foreign water resources? An assessment of trends in global virtual water flows using a self-organizing time map. Ecological Informatics. 26, 192-202. doi: 10.1016/j.ecoinf.2014.05.012
Robinson, S. J., Souter N. J., Bean N. G., Ross J. V., Thompson R. M., & Bjornsson K. T. (2015).  Statistical description of wetland hydrological connectivity to the River Murray in South Australia under both natural and regulated conditions. Journal of Hydrology. 531, 929-939. doi: 10.1016/j.jhydrol.2015.10.006
Herbert, D. L., Graves N., Clarke P., & Barnett A. G. (2015).  Using simplified peer review processes to fund research: a prospective study. BMJ Open. 5(7),  doi: 10.1136/bmjopen-2015-008380
Rushworth, A. M., Peterson E., Hoef J. M. Ver, & Bowman A. W. (2015).  Validation and comparison of geostatistical and spline models for spatial stream networks. Environmetrics. 26(5), 327-338. doi: 10.1002/env.2340
Gallois, C., Wilmott L., White B., Winch S., Parker M., Graves N., et al. (2015).  Futile Treatment in Hospital: Doctors' Intergroup Language. Journal of Language and Social Psychology. 34(6), 657-671. doi: 10.1177/0261927X15586430
Beaton, N. R., Guttmann A., Jensen I., & Lawler G. F. (2015).  Compressed self-avoiding walks, bridges and polygons. Journal of Physics A: Mathematical and Theoretical. 48(45), 454001. doi: 10.1088/1751-8113/48/45/454001
Templeton, D. J., Wright ST., McManus H., Lawrence C., Russell D. B., Law M. G., et al. (2015).  Antiretroviral treatment use, co-morbidities and clinical outcomes among Aboriginal participants in the Australian HIV Observational Database (AHOD). BMC Infectious Diseases. 15(1),  doi: 10.1186/s12879-015-1051-4
Herschtal, A., L Marvelde te., Mengersen KL., Hosseinifard Z., Foroudi F., Devereux T., et al. (2015).  Calculating radiotherapy margins based on Bayesian modelling of patient specific random errors. Physics in Medicine and Biology. 60(5), 1793-1805. doi: 10.1088/0031-9155/60/5/1793
Chang, J., & Hall P. (2015).  Double-bootstrap methods that use a single double-bootstrap simulation. Biometrika. 102(1), 203-214. doi: 10.1093/biomet/asu060
Westhoff, D., van Franeker J. J., Brereton T., Kroese D., Janssen R. A. J., & Schmidt V. (2015).  Stochastic modeling and predictive simulations for the microstructure of organic semiconductor films processed with different spin coating velocities. Modelling and Simulation in Materials Science and Engineering. 23(4), 45003. doi: 10.1088/0965-0393/23/4/045003
Dargaville, S., & Farrell T. (2015).  A least squares based finite volume method for the Cahn–Hilliard and Cahn–Hilliard-reaction equations. Journal of Computational and Applied Mathematics. 273, 225-244. doi: 10.1016/
Zheng, M., Liu F., Turner I., & Anh V. (2015).  A Novel High Order Space-Time Spectral Method for the Time Fractional Fokker--Planck Equation. SIAM Journal on Scientific Computing. 37(2),  doi: 10.1137/140980545
Oates, C., Smith J. Q., Mukherjee S., & Cussens J. (2015).  Exact estimation of multiple directed acyclic graphs. Statistics and Computing. 26(4), 797-811. doi: 10.1007/s11222-015-9570-9
Liu, F., Zhuang P., Turner I., Anh V., & Burrage K. (2015).  A semi-alternating direction method for a 2-D fractional FitzHugh–Nagumo monodomain model on an approximate irregular domain. Journal of Computational Physics. 293, 252-263. doi: 10.1016/
Vaisman, R., Strichman O., & Gertsbakh I. (2015).  Model Counting of Monotone Conjunctive Normal Form Formulas with Spectra. INFORMS Journal on Computing. 27(2), 406-415. doi: 10.1287/ijoc.2014.0633
Ryan, E., Drovandi C. C., & Pettitt A.N. (2015).  Fully Bayesian Experimental Design for Pharmacokinetic Studies. Entropy. 17(3), 1063-1089. doi: 10.3390/e17031063
Greenwood, A. A., Farrell T., Zhang Z., & O’Hara I. M. (2015).  A novel population balance model for the dilute acid hydrolysis of hemicellulose. Biotechnology for Biofuels. 8(1),  doi: 10.1186/s13068-015-0211-5
Betea, D., Wheeler M., & Zinn-Justin P. (2015).  Refined Cauchy/Littlewood identities and six-vertex model partition functions: II. Proofs and new conjectures. Journal of Algebraic Combinatorics. 42(2), 555-603. doi: 10.1007/s10801-015-0592-3
Visser, F., Dargusch P., Smith C., & Grace P.R. (2015).  Application of the Crop Carbon Progress Calculator in a ‘farm to ship’ cotton production case study in Australia. Journal of Cleaner Production. 103, 675-684. doi: 10.1016/j.jclepro.2014.09.093
Athanasopoulos, G., & Vahid F. (2015).  Forecasting multivariate time series. International Journal of Forecasting. 31(3), 680-681. doi: 10.1016/j.ijforecast.2015.03.003
Huang, C., Chu C., Wang X., & Barnett A. G. (2015).  Unusually cold and dry winters increase mortality in Australia. Environmental Research. 136, 1-7. doi: 10.1016/j.envres.2014.08.046
Commenges, D., Proust-Lima C., Samieri C., & Liquet B. (2015).  A Universal Approximate Cross-Validation Criterion for Regular Risk Functions. The International Journal of Biostatistics. 11(1),  doi: 10.1515/ijb-2015-0004
Williams, A. N., Mooney S. D., Sisson S., & Marlon J. (2015).  Exploring the relationship between Aboriginal population indices and fire in Australia over the last 20,000years. Palaeogeography, Palaeoclimatology, Palaeoecology. 432, 49-57. doi: 10.1016/j.palaeo.2015.04.030
Kim, J., Mossel E., Rácz M. Z., & Ross N. (2015).  Can one hear the shape of a population history?. Theoretical Population Biology. 100, 26-38. doi: 10.1016/j.tpb.2014.12.002
Delaigle, A., Hall P., & Jamshidi F. (2015).  Confidence bands in non-parametric errors-in-variables regression. Journal of the Royal Statistical Society: Series B (Statistical Methodology). 77(1), 149-169. doi: 10.1111/rssb.12067
Alfano, N., Courtiol A., Vielgrader H., Timms P., Roca A. L., & Greenwood A. D. (2015).  Variation in koala microbiomes within and between individuals: effect of body region and captivity status. Scientific Reports. 5, 10189. doi: 10.1038/srep10189
Pethiyagoda, R., McCue S. W., & Moroney T. J. (2015).  Wake angle for surface gravity waves on a finite depth fluid. Physics of Fluids. 27(6), 61701. doi: 10.1063/1.4921918
Menon, S., Timms P., Allan J. A., Alexander K., Rombauts L., Horner P., et al. (2015).  Human and Pathogen Factors Associated with Chlamydia trachomatis-Related Infertility in Women. Clinical Microbiology Reviews. 28(4), 969-985. doi: 10.1128/CMR.00035-15
Vaisman, R., & Kroese D. (2015).  Stochastic Enumeration Method for Counting Trees. Methodology and Computing in Applied Probability. doi: 10.1007/s11009-015-9457-4
Simmons, A., Yang Q., & Moroney T. J. (2015).  A preconditioned numerical solver for stiff nonlinear reaction–diffusion equations with fractional Laplacians that avoids dense matrices. Journal of Computational Physics. 287, 254-268. doi: 10.1016/
Psaltis, S. T. P., Farrell T., Burrage K., Burrage P., McCabe P., Moroney T. J., et al. (2015).  Mathematical modelling of gas production and compositional shift of a CSG (coal seam gas) field: Local model development. Energy. 88, 621-635. doi: 10.1016/
Abram, N. K., Meijaard E., Wells J. A., Ancrenaz M., Pellier AS., Runting R. K., et al. (2015).  Mapping perceptions of species' threats and population trends to inform conservation efforts: the Bornean orangutan case study. Diversity and Distributions. 21(5), 487-499. doi: 10.1111/ddi.12286
Buys, L., Vine D., Ledwich G., Bell J., Mengersen KL., Morris P., et al. (2015).  A Framework for Understanding and Generating Integrated Solutions for Residential Peak Energy Demand. PLOS ONE. 10(3),  doi: 10.1371/journal.pone.0121195
Jelocnik, M., Self R., Timms P., Borel N., & Polkinghorne A. (2015).   Novel Sequence Types of Infect Free-Ranging Alpine Ibex ( ) and Red Deer ( ) in Switzerland . Journal of Wildlife Diseases. 51(2), 479-483. doi: 10.7589/2014-08-220
Coulter, S., Merollini K., Roberts J. A., Graves N., & Halton K. (2015).  The need for cost-effectiveness analyses of antimicrobial stewardship programmes: A structured review. International Journal of Antimicrobial Agents. 46(2), 140-149. doi: 10.1016/j.ijantimicag.2015.04.007
Wyrsch, E., Chowdhury P. Roy, Abraham S., Santos J., Darling A. E., Charles I. G., et al. (2015).  Comparative genomic analysis of a multiple antimicrobial resistant enterotoxigenic E. coli O157 lineage from Australian pigs. BMC Genomics. 16(1),  doi: 10.1186/s12864-015-1382-y
Mitchell, L., & Carrassi A. (2015).  Accounting for model error due to unresolved scales within ensemble Kalman filtering. Quarterly Journal of the Royal Meteorological Society. 141(689), 1417-1428. doi: 10.1002/qj.2451
Donald, M. R., Mengersen KL., Young R. R., & Reigosa M. (2015).  A Four Dimensional Spatio-Temporal Analysis of an Agricultural Dataset. PLOS ONE. 10(10),  doi: 10.1371/journal.pone.0141120
Daley, D. J., Van Leeuwaarden J. S. H., & Nazarathy Y. (2015).  BRAVO for many-server QED systems with finite buffers. Advances in Applied Probability. 47(1), 231-250. doi: 10.1017/S0001867800007783
Rickard, C. M., Marsh N. M., Webster J., Gavin N. C., McGrail M. R., Larsen E., et al. (2015).  Intravascular device administration sets: replacement after standard versus prolonged use in hospitalised patients--a study protocol for a randomised controlled trial (The RSVP Trial). BMJ Open. 5(2),  doi: 10.1136/bmjopen-2014-007257
Hautphenne, S., Kerner Y., Nazarathy Y., & Taylor P. (2015).  The intercept term of the asymptotic variance curve for some queueing output processes. European Journal of Operational Research. 242(2), 455-464. doi: 10.1016/j.ejor.2014.10.051
Rowlings, D.W., Grace P.R., Scheer C., & Liu S. (2015).  Rainfall variability drives interannual variation in N2O emissions from a humid, subtropical pasture. Science of The Total Environment. 512-513, 8-18. doi: 10.1016/j.scitotenv.2015.01.011
McGarvey, R., Punt A. E., Matthews J. M., Feenstra J., Gardner C., Burch P., et al. (2015).  Comparing size-limit and quota policies to increase economic yield in a lobster fishery. Canadian Journal of Fisheries and Aquatic Sciences. 72(9), 1292-1305. doi: 10.1139/cjfas-2014-0405
Basso, B., Hyndman D. W., Kendall A. D., Grace P.R., G. Robertson P., & Spanoghe P. (2015).  Can Impacts of Climate Change and Agricultural Adaptation Strategies Be Accurately Quantified if Crop Models Are Annually Re-Initialized?. PLOS ONE. 10(6),  doi: 10.1371/journal.pone.0127333
Stork, N. E., McBroom J., Gely C., & Hamilton A. J. (2015).  New approaches narrow global species estimates for beetles, insects, and terrestrial arthropods. Proceedings of the National Academy of Sciences. 112(24), 7519-7523. doi: 10.1073/pnas.1502408112
Arbel, J., King C.K., Raymond B., Winsley T., & Mengersen KL. (2015).  Application of a Bayesian nonparametric model to derive toxicity estimates based on the response of Antarctic microbial communities to fuel-contaminated soil. Ecology and Evolution. 5(13), 2633-2645. doi: 10.1002/ece3.1493
Herschtal, A., Marvelde L. Te, Mengersen KL., Foroudi F., Eade T., Pham D., et al. (2015).  Sparing Healthy Tissue and Increasing Tumor Dose Using Bayesian Modeling of Geometric Uncertainties for Planning Target Volume Personalization. International Journal of Radiation Oncology*Biology*Physics. 92(2), 446-452. doi: 10.1016/j.ijrobp.2015.01.034
Chakraborty, S., Mengersen KL., Fidge C., Ma L., Lassen D., & Shi Y. (2015).  Multifaceted Modelling of Complex Business Enterprises. PLOS ONE. 10(8),  doi: 10.1371/journal.pone.0134052
Westbrook, J. I., Gospodarevskaya E., Li L., Richardson K. L., Roffe D., Heywood M., et al. (2015).  Cost-effectiveness analysis of a hospital electronic medication management system. Journal of the American Medical Informatics Association. 22(4), 784-793. doi: 10.1093/jamia/ocu014
Kayal, M., Vercelloni J., Wand M., & Adjeroud M. (2015).  Searching for the best bet in life-strategy: A quantitative approach to individual performance and population dynamics in reef-building corals. Ecological Complexity. 23, 73-84. doi: 10.1016/j.ecocom.2015.07.003
Cusimano, N., Bueno-Orovio A., Turner I., Burrage K., & Talkachova A. (2015).  On the Order of the Fractional Laplacian in Determining the Spatio-Temporal Evolution of a Space-Fractional Model of Cardiac Electrophysiology. PLOS ONE. 10(12),  doi: 10.1371/journal.pone.0143938
Zhang, D., Rubenstein B.I.P., & Gemmell J. (2015).  Principled Graph Matching Algorithms for Integrating Multiple Data Sources. IEEE Transactions on Knowledge and Data Engineering. 27(10), 2784-2796. doi: 10.1109/TKDE.2015.2426714
Oates, C., Costa L., & Nichols T. E. (2015).  Toward a Multisubject Analysis of Neural Connectivity. Neural Computation. 27(1), 151-170. doi: 10.1162/NECO_a_00690
Liquet, B., & Nazarathy Y. (2015).  A dynamic view to moment matching of truncated distributions. Statistics & Probability Letters. 104, 87-93. doi: 10.1016/j.spl.2015.05.006
Durham, G., Geweke J., & Ghosh P. (2015).  A comment on Christoffersen, Jacobs, and Ornthanalai (2012), “Dynamic jump intensities and risk premiums: Evidence from S&P 500 returns and options”. Journal of Financial Economics. 115(1), 210-214. doi: 10.1016/j.jfineco.2014.08.004
Feng, L.B., Zhuang P., Liu F., & Turner I. (2015).  Stability and convergence of a new finite volume method for a two-sided space-fractional diffusion equation. Applied Mathematics and Computation. 257, 52-65. doi: 10.1016/j.amc.2014.12.060
Tilley, D. M., Griggs E., Hoy J., Wright ST., Woolley I., Burke M., et al. (2015).  Treatment and disease outcomes of migrants from low- and middle-income countries in the Australian HIV Observational Database cohort. AIDS Care. 27(11), 1410-1417. doi: 10.1080/09540121.2015.1113227
RUTKOWSKI, MAREK., & TARCA SILVIO. (2015).  REGULATORY CAPITAL MODELING FOR CREDIT RISK. International Journal of Theoretical and Applied Finance. 18(05), 1550034. doi: 10.1142/S021902491550034X
Menconi, G., Bedini A., Barale R., Sbrana I., & Ouzounis C. A. (2015).  Global Mapping of DNA Conformational Flexibility on Saccharomyces cerevisiae. PLoS Computational Biology. 11(4),  doi: 10.1371/journal.pcbi.1004136
Veitch, D., & Tune P. (2015).  Optimal Skampling for the Flow Size Distribution. IEEE Transactions on Information Theory. 61(6), 3075-3099. doi: 10.1109/TIT.2015.2418770
Athanasopoulos, G., Ahmed R. A., & Hyndman R. J. (2015).  Corrigendum to: “Hierarchical forecasts for Australian domestic tourism” [International Journal of Forecasting 25 (2009) 146–166]. International Journal of Forecasting. 31(2), 585. doi: 10.1016/j.ijforecast.2014.08.011
Hu, X., Liao H-L., Liu F., & Turner I. (2015).  A center Box method for radially symmetric solution of fractional subdiffusion equation. Applied Mathematics and Computation. 257, 467-486. doi: 10.1016/j.amc.2015.01.015
Coil, D. A., Alexiev A., Wallis C., O’Flynn C., Deusch O., Davis I., et al. (2015).   Draft Genome Sequences of 26 Strains Isolated from the Canine Oral Microbiome: Table 1 . Genome Announcements. 3(2),  doi: 10.1128/genomeA.00187-15
Wijesiri, B., Egodawatta P., McGree J., & Goonetilleke A. (2015).  Process variability of pollutant build-up on urban road surfaces. Science of The Total Environment. 518-519, 434-440. doi: 10.1016/j.scitotenv.2015.03.014
Kempthorne, D. M., Turner I., Belward J. A., McCue S. W., Barry M., Young J., et al. (2015).  Surface reconstruction of wheat leaf morphology from three-dimensional scanned data. Functional Plant Biology. 42(5), 444. doi: 10.1071/FP14058
Del Moral, P., Kohn R., & Patras F. (2015).  A duality formula for Feynman–Kac path particle models. Comptes Rendus Mathematique. 353(5), 465-469. doi: 10.1016/j.crma.2015.02.008
Harding, B., Hegland M., Larson J., & Southern J. (2015).  Fault Tolerant Computation with the Sparse Grid Combination Technique. SIAM Journal on Scientific Computing. 37(3),  doi: 10.1137/140964448
Patch, B., Nazarathy Y., & Taimre T. (2015).  A correction term for the covariance of renewal-reward processes with multivariate rewards. Statistics & Probability Letters. 102, 1-7. doi: 10.1016/j.spl.2015.03.005
Khanna, S.P., Linfield E.H., Indjin D., Lim Y.L., Dean P., Taimre T., et al. (2015).  Terahertz radar cross-section characterisation using laser feedback interferometry with quantum cascade laser. Electronics Letters. 51(22), 1774-1776. doi: 10.1049/el.2015.2878
Hsieh, J. C. - F., Cramb S., McGree J., Dunn N., Baade P. D., & Mengersen KL. (2015).  Does geographic location impact the survival differential between screen- and interval-detected breast cancers?. Stochastic Environmental Research and Risk Assessment. 30(1), 155-165. doi: 10.1007/s00477-015-1050-4
Menictas, M., & Wand M. (2015).  Variational Inference for Heteroscedastic Semiparametric Regression. Australian & New Zealand Journal of Statistics. 57(1), 119-138. doi: 10.1111/anzs.12105
Fjeldsoe, B. S., Miller Y. D., Graves N., Barnett A. G., & Marshall A. L. (2015).  Randomized Controlled Trial of an Improved Version of MobileMums, an Intervention for Increasing Physical Activity in Women with Young Children. Annals of Behavioral Medicine. 49(4), 487-499. doi: 10.1007/s12160-014-9675-y
Scealy, J. L., de Caritat P., Grunsky E. C., Tsagris M. T., & Welsh A. H. (2015).  Robust Principal Component Analysis for Power Transformed Compositional Data. Journal of the American Statistical Association. 110(509), 136-148. doi: 10.1080/01621459.2014.990563
Han, N., Wright ST., O'Connor CC., Hoy J., Ponnampalavanar S., Grotowski M., et al. (2015).  HIV and aging: insights from the Asia Pacific HIV Observational Database (APHOD). HIV Medicine. 16(3), 152-160. doi: 10.1111/hiv.12188
Brown, E., Owen R., Harden F., Mengersen KL., Oestreich K., Houghton W., et al. (2015).  Predicting the need for adaptive radiotherapy in head and neck cancer. Radiotherapy and Oncology. 116(1), 57-63. doi: 10.1016/j.radonc.2015.06.025
Walmsley, J., Mirams G. R., Pitt-Francis J., Rodriguez B., & Burrage K. (2015).  Application of stochastic phenomenological modelling to cell-to-cell and beat-to-beat electrophysiological variability in cardiac tissue. Journal of Theoretical Biology. 365, 325-336. doi: 10.1016/j.jtbi.2014.10.029
Baker, J., Janda M., Gebski V., Forder P., Hogg R., Manolitsas T., et al. (2015).  Lower preoperative quality of life increases postoperative risk of adverse events in women with endometrial cancer: Results from the LACE trial. Gynecologic Oncology. 137(1), 102-105. doi: 10.1016/j.ygyno.2015.02.008
Jelocnik, M., Bachmann N. L., Kaltenboeck B., Waugh C., Woolford L., K. Speight N., et al. (2015).  Genetic diversity in the plasticity zone and the presence of the chlamydial plasmid differentiates Chlamydia pecorum strains from pigs, sheep, cattle, and koalas. BMC Genomics. 16(1),  doi: 10.1186/s12864-015-2053-8
Correa-Velez, I., Barnett A. G., & Gifford S. (2015).  Working for a Better Life: Longitudinal Evidence on the Predictors of Employment Among Recently Arrived Refugee Migrant Men Living in Australia. International Migration. 53(2), 321-337. doi: 10.1111/imig.12099
Wu, P., Fookes C., Pitchforth J., & Mengersen KL. (2015).  A framework for model integration and holistic modelling of socio-technical systems. Decision Support Systems. 71, 14-27. doi: 10.1016/j.dss.2015.01.006
Korkola, J. E., Collisson E. A., Heiser L., Oates C., Bayani N., Itani S., et al. (2015).  Decoupling of the PI3K Pathway via Mutation Necessitates Combinatorial Treatment in HER2+ Breast Cancer. PLOS ONE. 10(7),  doi: 10.1371/journal.pone.0133219
Merritt, W. S., Patch B., Reddy V. R., & Syme G. J. (2015).  Modelling livelihoods and household resilience to droughts using Bayesian networks. Environment, Development and Sustainability. 18(2), 315-346. doi: 10.1007/s10668-015-9650-1
Dodds, P. Sheridan, Clark E. M., Desu S., Frank M. R., Reagan A. J., Williams J. Ryland, et al. (2015).  Human language reveals a universal positivity bias. Proceedings of the National Academy of Sciences. 112(8), 2389-2394. doi: 10.1073/pnas.1411678112
Qiu, Z., Pérez J. F., & Harrison P. G. (2015).  Beyond the mean in fork-join queues: Efficient approximation for response-time tails. Performance Evaluation. 91, 99-116. doi: 10.1016/j.peva.2015.06.007
Roumy, J. Al, Perchoux J., Lim Y. Leng, Taimre T., Rakić A. D., & Bosch T. (2015).  Effect of injection current and temperature on signal strength in a laser diode optical feedback interferometer. Applied Optics. 54(2), 312. doi: 10.1364/AO.54.000312
Forrester, P., & Mays A. (2015).  Finite-size corrections in random matrix theory and Odlyzko’s dataset for the Riemann zeros. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Science. 471(2182), 20150436. doi: 10.1098/rspa.2015.0436
Barrio, M., Burrage K., & Burrage P. (2015).  Stochastic linear multistep methods for the simulation of chemical kinetics. The Journal of Chemical Physics. 142(6), 64101. doi: 10.1063/1.4907008
Strbenac, D., Mann G. J., Ormerod J. T., & Yang J. Y. H. (2015).  ClassifyR: an R package for performance assessment of classification with applications to transcriptomics. Bioinformatics. 31(11), 1851-1853. doi: 10.1093/bioinformatics/btv066
Ali, H., Cameron E., Drovandi C. C., McCaw J. M., Guy R. J., Middleton M., et al. (2015).  A new approach to estimating trends in chlamydia incidence. Sexually Transmitted Infections. 91(7), 513-519. doi: 10.1136/sextrans-2014-051631
Hernández-Sánchez, J., Brumm J., Timms P., & Beagley K. W. (2015).  Vaccination of koalas with a prototype chlamydial vaccine is safe, does not increase the incidence of lymphoma-related disease and maybe associated with increased lifespan in captive koalas. Vaccine. 33(36), 4459-4463. doi: 10.1016/j.vaccine.2015.07.029
Chacko, A., Beagley K. W., Timms P., & Huston W. M. (2015).  Human Chlamydia pneumoniae isolates demonstrate ability to recover infectivity following penicillin treatment whereas animal isolates do not. FEMS Microbiology Letters. 362(6),  doi: 10.1093/femsle/fnv015
Welsh, A. H., Lindenmayer D. B., Donnelly C. F., & White E. P. (2015).  Adjusting for One Issue while Ignoring Others Can Make Things Worse. PLOS ONE. 10(3),  doi: 10.1371/journal.pone.0120817
Károlyi, G., Lascoux A., & S. Warnaar O. (2015).  Constant term identities and Poincaré polynomials. Transactions of the American Mathematical Society. 367(10), 6809-6836. doi: 10.1090/tran/6119
Cullen, L., Greenslade J., Merollini K., Graves N., Hammett C. J. K., Hawkins T., et al. (2015).  Cost and outcomes of assessing patients with chest pain in an Australian emergency department. The Medical Journal of Australia. 202(8), 427-432. doi: 10.5694/mja14.00472
Zeng, F., Li C., Liu F., & Turner I. (2015).  Numerical Algorithms for Time-Fractional Subdiffusion Equation with Second-Order Accuracy. SIAM Journal on Scientific Computing. 37(1),  doi: 10.1137/14096390X
Niu, Y., Burrage K., & Zhang C. (2015).  Multi-scale approach for simulating time-delay biochemical reaction systems. IET Systems Biology. 9(1), 31-38. doi: 10.1049/iet-syb.2013.0023
Lewis, J., Mengersen KL., Buys L., Vine D., Bell J., Morris P., et al. (2015).  Systems Modelling of the Socio-Technical Aspects of Residential Electricity Use and Network Peak Demand. PLOS ONE. 10(7),  doi: 10.1371/journal.pone.0134086
Dunitz, M. I., Lang J. M., Jospin G., Darling A. E., Eisen J. A., & Coil D. A. (2015).  Swabs to genomes: a comprehensive workflow. PeerJ. 3, doi: 10.7717/peerj.960
Guttmann, A., & Maillard J-M. (2015).  Automata and the susceptibility of the square lattice Ising model modulo powers of primes. Journal of Physics A: Mathematical and Theoretical. 48(47), 474001. doi: 10.1088/1751-8113/48/47/474001
Feng, L.B., Zhuang P., Liu F., Turner I., & Gu Y. T. (2015).  Finite element method for space-time fractional diffusion equation. Numerical Algorithms. 72(3), 749-767. doi: 10.1007/s11075-015-0065-8
Röllin, A., & Ross N. (2015).  Local limit theorems via Landau–Kolmogorov inequalities. Bernoulli. 21(2), 851-880. doi: 10.3150/13-BEJ590
Russo, P. L., Cheng A. C., Richards M., Graves N., & Hall L. (2015).  Variation in health care-associated infection surveillance practices in Australia. American Journal of Infection Control. 43(7), 773-775. doi: 10.1016/j.ajic.2015.02.029
Gardiner, B. P. J., McCue S. W., & Moroney T. J. (2015).  Discrete families of Saffman–Taylor fingers with exotic shapes. Results in Physics. 5, 103-104. doi: 10.1016/j.rinp.2015.04.002
Beaudequin, D., Harden F., Roiko A., Stratton H., Lemckert C., & Mengersen KL. (2015).  Modelling microbial health risk of wastewater reuse: A systems perspective. Environment International. 84, 131-141. doi: 10.1016/j.envint.2015.08.001
van Havre, Z., White N., Rousseau J., Mengersen KL., & Chen C. W. S. (2015).  Overfitting Bayesian Mixture Models with an Unknown Number of Components. PLOS ONE. 10(7),  doi: 10.1371/journal.pone.0131739
Ash, S., Martin E.K., Rodger S., Clark M., & Graves N. (2015).  Student and supervisor productivity change during nutrition and dietetic practice placements: A cohort study. Nutrition & Dietetics. 72(2), 163-169. doi: 10.1111/1747-0080.12093
Hu, W., Zhang W., Huang X., Clements A., Mengersen KL., & Tong S. (2015).  Weather variability and influenza A (H7N9) transmission in Shanghai, China: A Bayesian spatial analysis. Environmental Research. 136, 405-412. doi: 10.1016/j.envres.2014.07.033
Cody, E. M., Reagan A. J., Mitchell L., Dodds P. Sheridan, Danforth C. M., & Lehmann S. (2015).  Climate Change Sentiment on Twitter: An Unsolicited Public Opinion Poll. PLOS ONE. 10(8),  doi: 10.1371/journal.pone.0136092
Wijesiri, B., Egodawatta P., McGree J., & Goonetilleke A. (2015).  Incorporating process variability into stormwater quality modelling. Science of The Total Environment. 533, 454-461. doi: 10.1016/j.scitotenv.2015.07.008
Keenan, B. E., Pettet G. J., Izatt M. T., Askin G. N., Labrom R. D., Pearcy M. J., et al. (2015).  Gravity-induced coronal plane joint moments in adolescent idiopathic scoliosis. Scoliosis. 10(1),  doi: 10.1186/s13013-015-0060-9
De Martino, G., & Spina S. (2015).  Exploiting the time-dynamics of news diffusion on the Internet through a generalized Susceptible–Infected model. Physica A: Statistical Mechanics and its Applications. 438, 634-644. doi: 10.1016/j.physa.2015.07.022
Chang, J., Chen S. Xi, & Chen X. (2015).  High dimensional generalized empirical likelihood for moment restrictions with dependent data. Journal of Econometrics. 185(1), 283-304. doi: 10.1016/j.jeconom.2014.10.011
Page, K., Barnett A. G., Campbell M., Brain D., Martin E., Fulop N., et al. (2015).  Response to Grayson's Letter to the Editor: ‘Response to K. Page et al., ‘Costing the Australian National Hand Hygiene Initiative’’. Journal of Hospital Infection. 89(2), 138-139. doi: 10.1016/j.jhin.2014.11.003
Townsley, M., Birks D., Ruiter S., Bernasco W., & White G. (2015).  Target Selection Models with Preference Variation Between Offenders. Journal of Quantitative Criminology. 32(2), 283-304. doi: 10.1007/s10940-015-9264-7
Herschtal, A., Foroudi F., Kron T., & Mengersen KL. (2015).  A Comparison of Bayesian Models of Heteroscedasticity in Nested Normal Data. Communications in Statistics - Simulation and Computation. 45(8), 2947-2964. doi: 10.1080/03610918.2014.936467
Mengersen, KL., M. MacNeil A., & M. Caley J. (2015).  The potential for meta-analysis to support decision analysis in ecology. Research Synthesis Methods. 6(2), 111-121. doi: 10.1002/jrsm.1105
Fisher, R., O’Leary R. A., Low-Choy S., Mengersen KL., Knowlton N., Brainard R. E., et al. (2015).  Species Richness on Coral Reefs and the Pursuit of Convergent Global Estimates. Current Biology. 25(4), 500-505. doi: 10.1016/j.cub.2014.12.022
Luangasanatip, N., Hongsuwan M., Limmathurotsakul D., Lubell Y., Lee A. S., Harbarth S., et al. (2015).  Comparative efficacy of interventions to promote hand hygiene in hospital: systematic review and network meta-analysis. BMJ. doi: 10.1136/bmj.h3728
Sanchez, M. A., Otto J. S., Bischof Z. S., Choffnes D. R., Bustamante F. E., Krishnamurthy B., et al. (2015).  A Measurement Experimentation Platform at the Internet's Edge. IEEE/ACM Transactions on Networking. 23(6), 1944-1958. doi: 10.1109/TNET.2014.2354348
Hall, P., & Racine J. S. (2015).  Infinite order cross-validated local polynomial regression. Journal of Econometrics. 185(2), 510-525. doi: 10.1016/j.jeconom.2014.06.003
Baker, J., Janda M., Graves N., Bauer J., Banks M., Garrett A., et al. (2015).  Quality of life after early enteral feeding versus standard care for proven or suspected advanced epithelial ovarian cancer: Results from a randomised trial. Gynecologic Oncology. 137(3), 516-522. doi: 10.1016/j.ygyno.2015.03.048
Martineau, A. R., James W. Yee, Hooper R. L., Barnes N. C., Jolliffe D. A., Greiller C. L., et al. (2015).  Vitamin D3 supplementation in patients with chronic obstructive pulmonary disease (ViDiCO): a multicentre, double-blind, randomised controlled trial. The Lancet Respiratory Medicine. 3(2), 120-130. doi: 10.1016/S2213-2600(14)70255-3
Wright, ST., Law M. G., Cooper D. A., Keen P., McDonald A., Middleton M., et al. (2015).  Temporal trends of time to antiretroviral treatment initiation, interruption and modification: examination of patients diagnosed with advanced HIV in Australia. Journal of the International AIDS Society. 18(1),  doi: 10.7448/IAS.18.1.19463
Koo, B., & Seo M. Hwan (2015).  Structural-break models under mis-specification: Implications for forecasting. Journal of Econometrics. 188(1), 166-181. doi: 10.1016/j.jeconom.2015.03.046
Corley, A., Bull T., Spooner A. J., Barnett A. G., & Fraser J. F. (2015).  Direct extubation onto high-flow nasal cannulae post-cardiac surgery versus standard treatment in patients with a BMI ≥30: a randomised controlled trial. Intensive Care Medicine. 41(5), 887-894. doi: 10.1007/s00134-015-3765-6
Aksu, T., Golcuk S., Guler T. E., Yalin K., & Erden I. (2015).  Gastroparesis as a Complication of Atrial Fibrillation Ablation. The American Journal of Cardiology. 116(1), 92-97. doi: 10.1016/j.amjcard.2015.03.045
Roulis, E., Bachmann N. L., Myers G. S. A., Huston W., Summersgill J., Hudson A., et al. (2015).  Comparative genomic analysis of human Chlamydia pneumoniae isolates from respiratory, brain and cardiac tissues. Genomics. 106(6), 373-383. doi: 10.1016/j.ygeno.2015.09.008
Morris, K. M., Mathew M., Waugh C., Ujvari B., Timms P., Polkinghorne A., et al. (2015).  Identification, characterisation and expression analysis of natural killer receptor genes in Chlamydia pecorum infected koalas (Phascolarctos cinereus). BMC Genomics. 16(1),  doi: 10.1186/s12864-015-2035-x
Forrester, P., Liu D-Z., & Zinn-Justin P. (2015).  Equilibrium problems for Raney densities. Nonlinearity. 28(7), 2265-2277. doi: 10.1088/0951-7715/28/7/2265
Barnett, A. G., Herbert D. L., Campbell M., Daly N., Roberts J. A., Mudge A., et al. (2015).  Streamlined research funding using short proposals and accelerated peer review: an observational study. BMC Health Services Research. 15(1),  doi: 10.1186/s12913-015-0721-7
Sonenberg, N., Au G., & Taylor P. (2015).  A queueing model for the capacity planning of a multi-phase human services process. International Journal of Systems Science: Operations & Logistics. 2(3), 156-167. doi: 10.1080/23302674.2015.1015660
Henecka, W., & Roughan M. (2015).  Privacy-Preserving Fraud Detection Across Multiple Phone Record Databases. IEEE Transactions on Dependable and Secure Computing. 12(6), 640-651. doi: 10.1109/TDSC.2014.2382573
Casale, G., Pérez J. F., & Wang W. (2015).  QD-AMVA: Evaluating systems with queue-dependent service requirements. Performance Evaluation. 91, 80-98. doi: 10.1016/j.peva.2015.06.006
Welsh, A. H., & Knight E. J. (2015).  Response. Medicine & Science in Sports & Exercise. 47(4), 886. doi: 10.1249/MSS.0000000000000552
Barbour, A. D., McVinish R., & Pollett P. (2015).  Connecting deterministic and stochastic metapopulation models. Journal of Mathematical Biology. 71(6-7), 1481-1504. doi: 10.1007/s00285-015-0865-4
Kang, S. Yun, McGree J., Baade P. D., & Mengersen KL. (2015).  A Case Study for Modelling Cancer Incidence Using Bayesian Spatio-Temporal Models. Australian & New Zealand Journal of Statistics. 57(3), 325-345. doi: 10.1111/anzs.12127
Cui, J., Frankham G. J., Johnson R. N., Polkinghorne A., Timms P., O’Meally D., et al. (2015).  SNP Marker Discovery in Koala TLR Genes. PLOS ONE. 10(3),  doi: 10.1371/journal.pone.0121068
Niu, Y., Zhang C., & Burrage K. (2015).  Strong Predictor-Corrector Approximation for Stochastic Delay Differential Equations. Journal of Computational Mathematics. 33(6), 587-605. doi: 10.4208/jcm.1507-m4505
Lee, X. Ju, Drovandi C. C., & Pettitt A.N. (2015).  Model choice problems using approximate Bayesian computation with applications to pathogen transmission data sets. Biometrics. 71(1), 198-207. doi: 10.1111/biom.12249
Drovandi, C. C., Pettitt A.N., & Lee A. (2015).  Bayesian Indirect Inference Using a Parametric Auxiliary Model. Statistical Science. 30(1), 72-95. doi: 10.1214/14-STS498
Guttmann, A. (2015).  Analysis of series expansions for non-algebraic singularities. Journal of Physics A: Mathematical and Theoretical. 48(4), 45209. doi: 10.1088/1751-8113/48/4/045209
Fan, Y. (2015).  Convergence of trimmed Lévy processes to trimmed stable random variables at 0. Stochastic Processes and their Applications. 125(10), 3691-3724. doi: 10.1016/
Oates, C. (2015).  Accelerated non-parametrics for cascades of Poisson processes. Stat. 4(1), 183-195. doi: 10.1002/sta4.87
Russo, P. L., Cheng A. C., Richards M., Graves N., & Hall L. (2015).  Healthcare-associated infections in Australia: time for national surveillance. Australian Health Review. 39(1), 37. doi: 10.1071/AH14037
Gardiner, B. P. J., McCue S. W., Dallaston M. C., & Moroney T. J. (2015).  Saffman-Taylor fingers with kinetic undercooling. Physical Review E. 91(2),  doi: 10.1103/PhysRevE.91.023016
Townsley, M., Birks D., Bernasco W., Ruiter S., Johnson S. D., White G., et al. (2015).  Burglar Target Selection. Journal of Research in Crime and Delinquency. 52(1), 3-31. doi: 10.1177/0022427814541447
Hsieh, J. Ching- Fu, Cramb S., McGree J., Dunn N. A. M., Baade P. D., & Mengersen KL. (2015).  Geographic variation in the intended choice of adjuvant treatments for women diagnosed with screen-detected breast cancer in Queensland. BMC Public Health. 15(1),  doi: 10.1186/s12889-015-2527-2
Chow, C. K., Redfern J., Hillis G. S., Thakkar J., Santo K., Hackett M. L., et al. (2015).  Effect of Lifestyle-Focused Text Messaging on Risk Factor Modification in Patients With Coronary Heart Disease. JAMA. 314(12), 1255. doi: 10.1001/jama.2015.10945
White, K. M., Jimmieson N. L., Graves N., Barnett A. G., Cockshaw W., Gee P., et al. (2015).  Key beliefs of hospital nurses’ hand-hygiene behaviour: protecting your peers and needing effective reminders. Health Promotion Journal of Australia. 26(1), 74. doi: 10.1071/HE14059
de Laat, M. A., McGree J., & Sillence M. N. (2015).  Equine hyperinsulinemia: investigation of the enteroinsular axis during insulin dysregulation. American Journal of Physiology - Endocrinology And Metabolism. 310(1),  doi: 10.1152/ajpendo.00362.2015
Hu, X., Liu F., Turner I., & Anh V. (2015).  An implicit numerical method of a new time distributed-order and two-sided space-fractional advection-dispersion equation. Numerical Algorithms. 72(2), 393-407. doi: 10.1007/s11075-015-0051-1
Keeling, M. J., & Ross J.V. (2015).  Optimal prophylactic vaccination in segregated populations: When can we improve on the equalising strategy?. Epidemics. 11, 7-13. doi: 10.1016/j.epidem.2015.01.002
Zhuang, P., Liu F., Turner I., & Anh V. (2015).  Galerkin finite element method and error analysis for the fractional cable equation. Numerical Algorithms. 72(2), 447-466. doi: 10.1007/s11075-015-0055-x
Dean, P., Keeley J., Valavanis A., Bertling K., Lim Y. L., Taimre T., et al. (2015).  Active phase-nulling of the self-mixing phase in a terahertz frequency quantum cascade laser. Optics Letters. 40(6), 950. doi: 10.1364/OL.40.000950
McGree, J., Drovandi C. C., White G., & Pettitt A.N. (2015).  A pseudo-marginal sequential Monte Carlo algorithm for random effects models in Bayesian sequential design. Statistics and Computing. 26(5), 1121-1136. doi: 10.1007/s11222-015-9596-z
Melville, G. J., Welsh A. H., & Stone C. (2015).  Improving the Efficiency and Precision of Tree Counts in Pine Plantations Using Airborne LiDAR Data and Flexible-Radius Plots: Model-Based and Design-Based Approaches. Journal of Agricultural, Biological, and Environmental Statistics. 20(2), 229-257. doi: 10.1007/s13253-015-0205-6
Fiebig, U., Keller M., Möller A., Timms P., & Denner J. (2015).  Lack of antiviral antibody response in koalas infected with koala retroviruses (KoRV). Virus Research. 198, 30-34. doi: 10.1016/j.virusres.2015.01.002
Fan, Y. (2015).  Tightness and Convergence of Trimmed Lévy Processes to Normality at Small Times. Journal of Theoretical Probability. doi: 10.1007/s10959-015-0658-0
Ryan, L. M. (2015).  A Conversation with Nan Laird. Statistical Science. 30(4), 582-596. doi: 10.1214/15-STS528
Guo, Y., & Barnett A. G. (2015).  Invited Commentary: Assessment of Air Pollution and Suicide Risk. American Journal of Epidemiology. 181(5), 304-308. doi: 10.1093/aje/kwu342
Bino, G., Sisson S., Kingsford R. T., Thomas R. F., Bowen S., & Kardol P. (2015).  Developing state and transition models of floodplain vegetation dynamics as a tool for conservation decision-making: a case study of the Macquarie Marshes Ramsar wetland. Journal of Applied Ecology. 52(3), 654-664. doi: 10.1111/1365-2664.12410
Vo, B., Drovandi C. C., Pettitt A.N., & Simpson M. J. (2015).  Quantifying uncertainty in parameter estimates for stochastic models of collective cell spreading using approximate Bayesian computation. Mathematical Biosciences. 263, 133-142. doi: 10.1016/j.mbs.2015.02.010
Bachmann, N. L., Sullivan M. J., Jelocnik M., Myers G. S. A., Timms P., & Polkinghorne A. (2015).  Culture-Independent Genome Sequencing of Clinical Samples Reveals an Unexpected Heterogeneity of Infections by Chlamydia pecorum. Journal of Clinical Microbiology. 53(5), 1573-1581. doi: 10.1128/JCM.03534-14
Hutmacher, D. W., J. Little P., Pettet G. J., & Loessner D. (2015).  Biomaterial science meets computational biology. Journal of Materials Science: Materials in Medicine. 26(5),  doi: 10.1007/s10856-015-5518-z
Cope, R.C., Pollett P., Lanyon J.M., & Seddon J.M. (2015).  Indirect detection of genetic dispersal (movement and breeding events) through pedigree analysis of dugong populations in southern Queensland, Australia. Biological Conservation. 181, 91-101. doi: 10.1016/j.biocon.2014.11.011
Witte, N. S., & Forrester P. (2015).  Loop equation analysis of the circular β ensembles. Journal of High Energy Physics. 2015(2),  doi: 10.1007/JHEP02(2015)173
Dodds, P. Sheridan, Clark E. M., Desu S., Frank M. R., Reagan A. J., Williams J. Ryland, et al. (2015).  Reply to Garcia et al.: Common mistakes in measuring frequency-dependent word characteristics: Fig. 1.. Proceedings of the National Academy of Sciences. 112(23),  doi: 10.1073/pnas.1505647112
Black, A. J., & Ross J.V. (2015).  Computation of epidemic final size distributions. Journal of Theoretical Biology. 367, 159-165. doi: 10.1016/j.jtbi.2014.11.029
Pitchforth, J., Wu P., Fookes C., & Mengersen KL. (2015).  Processing passengers efficiently: An analysis of airport processing times for international passengers. Journal of Air Transport Management. 49, 35-45. doi: 10.1016/j.jairtraman.2015.06.016
Ross, J. V., & Black A. J. (2015).  Contact tracing and antiviral prophylaxis in the early stages of a pandemic: the probability of a major outbreak. Mathematical Medicine and Biology. 32(3), 331-343. doi: 10.1093/imammb/dqu014
Moores, M., Hargrave C., Deegan T., Poulsen M., Harden F., & Mengersen KL. (2015).  An external field prior for the hidden Potts model with application to cone-beam computed tomography. Computational Statistics & Data Analysis. 86, 27-41. doi: 10.1016/j.csda.2014.12.001
Forrester, P. (2015).  Asymptotics of finite system Lyapunov exponents for some random matrix ensembles. Journal of Physics A: Mathematical and Theoretical. 48(21), 215205. doi: 10.1088/1751-8113/48/21/215205
Solomon, D., Graves N., & Catherwood J. (2015).  Allied health growth: what we do not measure we cannot manage. Human Resources for Health. 13(1),  doi: 10.1186/s12960-015-0027-1
Agnew, G., Grier A., Taimre T., Lim Y. L., Nikolić M., Valavanis A., et al. (2015).  Efficient prediction of terahertz quantum cascade laser dynamics from steady-state simulations. Applied Physics Letters. 106(16), 161105. doi: 10.1063/1.4918993
Hautphenne, S., Krings G., Delvenne J-C., & Blondel V. D. (2015).  Sensitivity analysis of a branching process evolving on a network with application in epidemiology. Journal of Complex Networks. 3(4), 606-641. doi: 10.1093/comnet/cnv001
Carvajal, G., Roser D. J., Sisson S., Keegan A., & Khan S. J. (2015).  Modelling pathogen log10 reduction values achieved by activated sludge treatment using naïve and semi naïve Bayes network models. Water Research. 85, 304-315. doi: 10.1016/j.watres.2015.08.035
Welsh, A. H., & Knight E. J. (2015).  “Magnitude-based Inference”. Medicine & Science in Sports & Exercise. 47(4), 874-884. doi: 10.1249/MSS.0000000000000451
Banu, S., Guo Y., Hu W., Dale P., Mackenzie J. S., Mengersen KL., et al. (2015).  Impacts of El Niño Southern Oscillation and Indian Ocean Dipole on dengue incidence in Bangladesh. Scientific Reports. 5, 16105. doi: 10.1038/srep16105
Creed, S. J., Le C. P., Hassan M., Pon C. K., Albold S., Chan K. T., et al. (2015).  β2-adrenoceptor signaling regulates invadopodia formation to enhance tumor cell invasion. Breast Cancer Research. 17(1),  doi: 10.1186/s13058-015-0655-3
Yu, Q., Vegh V., Liu F., Turner I., & Liu H. (2015).  A Variable Order Fractional Differential-Based Texture Enhancement Algorithm with Application in Medical Imaging. PLOS ONE. 10(7),  doi: 10.1371/journal.pone.0132952
Nikolić, M., Lim Y. Leng, Bertling K., Taimre T., & Rakić A. D. (2015).  Multiple signal classification for self-mixing flowmetry. Applied Optics. 54(9), 2193. doi: 10.1364/AO.54.002193
Lee, J., Fan Y., & Sisson S. (2015).  Bayesian threshold selection for extremal models using measures of surprise. Computational Statistics & Data Analysis. 85, 84-99. doi: 10.1016/j.csda.2014.12.004
Doucet, A., Pitt M. K., Deligiannidis G., & Kohn R. (2015).  Efficient implementation of Markov chain Monte Carlo when using an unbiased likelihood estimator. Biometrika. 102(2), 295-313. doi: 10.1093/biomet/asu075
Ornstein, M. C., Mukherjee S., Keng M., Elson P., Tiu R. V., Saunthararajah Y., et al. (2015).  Impact of vancomycin-resistant enterococcal bacteremia on outcome during acute myeloid leukemia induction therapy. Leukemia & Lymphoma. 56(9), 2536-2542. doi: 10.3109/10428194.2014.1003557
Nelson, R. E., Samore M. H., Jones M., Greene T., Stevens V. W., Liu C-F., et al. (2015).  Reducing Time-dependent Bias in Estimates of the Attributable Cost of Health Care–associated Methicillin-resistant Staphylococcus aureus Infections. Medical Care. 53(9), 827-834. doi: 10.1097/MLR.0000000000000403
Russo, P. L., Barnett A. G., Cheng A. C., Richards M., Graves N., & Hall L. (2015).  Differences in identifying healthcare associated infections using clinical vignettes and the influence of respondent characteristics: a cross-sectional survey of Australian infection prevention staff. Antimicrobial Resistance and Infection Control. 4(1),  doi: 10.1186/s13756-015-0070-7
García-Díaz, P., Ross J. V., Ayres C., & Cassey P. (2015).  Understanding the biological invasion risk posed by the global wildlife trade: propagule pressure drives the introduction and establishment of Nearctic turtles. Global Change Biology. 21(3), 1078-1091. doi: 10.1111/gcb.12790
Beaudequin, D., Harden F., Roiko A., Stratton H., Lemckert C., & Mengersen KL. (2015).  Beyond QMRA: Modelling microbial health risk as a complex system using Bayesian networks. Environment International. 80, 8-18. doi: 10.1016/j.envint.2015.03.013
Thomas, R., Mengersen KL., Thomas A., & Walland M. J. (2015).  Looking deeper than (just) below the surface. Clinical & Experimental Ophthalmology. 43(5), 492-493. doi: 10.1111/ceo.12404
Hong, KH. Jimmy, Peng B., & Zhang X. (2015).  Capturing the Impact of Unobserved Sector-Wide Shocks on Stock Returns with Panel Data Model. Economic Record. 91(295), 495-508. doi: 10.1111/1475-4932.12208
Chen, S., Jiang X., Liu F., & Turner I. (2015).  High order unconditionally stable difference schemes for the Riesz space-fractional telegraph equation. Journal of Computational and Applied Mathematics. 278, 119-129. doi: 10.1016/
White, K. M., Jimmieson N. L., Obst P. L., Graves N., Barnett A. G., Cockshaw W., et al. (2015).  Using a theory of planned behaviour framework to explore hand hygiene beliefs at the ‘5 critical moments’ among Australian hospital-based nurses. BMC Health Services Research. 15(1),  doi: 10.1186/s12913-015-0718-2
Keeley, J., Dean P., Valavanis A., Bertling K., Lim Y. L., Alhathlool R., et al. (2015).  Three-dimensional terahertz imaging using swept-frequency feedback interferometry with a quantum cascade laser. Optics Letters. 40(6), 994. doi: 10.1364/OL.40.000994
Zhou, Z., Xu X., Garoni T., & Deng Y. (2015).  Leaf-excluded percolation in two and three dimensions. Physical Review E. 91(2),  doi: 10.1103/PhysRevE.91.022140
Hautphenne, S., & Haviv M. (2015).  THE BIAS OPTIMAL K IN THE M/M/1/K QUEUE: AN APPLICATION OF THE DEVIATION MATRIX. Probability in the Engineering and Informational Sciences. 30(01), 61-78. doi: 10.1017/S0269964815000285
O’Leary, R. A., Low-Choy S., Fisher R., Mengersen KL., M. Caley J., & Alekseyenko A. V. (2015).  Characterising Uncertainty in Expert Assessments: Encoding Heavily Skewed Judgements. PLOS ONE. 10(10),  doi: 10.1371/journal.pone.0141697
Liu, Q., Liu F., Gu Y.T., Zhuang P., Chen J., & Turner I. (2015).  A meshless method based on Point Interpolation Method (PIM) for the space fractional diffusion equation. Applied Mathematics and Computation. 256, 930-938. doi: 10.1016/j.amc.2015.01.092
Falk, M. G., Alston C. L., McGrory C. A., Clifford S., Heron E. A., Leonte D., et al. (2015).  Recent Bayesian approaches for spatial analysis of 2-D images with application to environmental modelling. Environmental and Ecological Statistics. 22(3), 571-600. doi: 10.1007/s10651-015-0311-1
Fanaeepour, M., Kulik L., Tanin E., & Rubenstein B.I.P. (2015).  The CASE histogram: privacy-aware processing of trajectory data using aggregates. GeoInformatica. 19(4), 747-798. doi: 10.1007/s10707-015-0228-8
Ferraty, F., & Hall P. (2015).  An Algorithm for Nonlinear, Nonparametric Model Choice and Prediction. Journal of Computational and Graphical Statistics. 24(3), 695-714. doi: 10.1080/10618600.2014.936605
Caruana, L.R., Paratz J.D., Chang A., Barnett A. G., & Fraser J.F. (2015).  The time taken for the regional distribution of ventilation to stabilise: An investigation using electrical impedance tomography. Anaesthesia and Intensive Care. 43,
Ryan, E. G., Drovandi C. C., & Pettitt A.N. (2015).  Simulation-based fully Bayesian experimental design for mixed effects models. Computational Statistics & Data Analysis. 92, 26-39. doi: 10.1016/j.csda.2015.06.007
Grose, S. D., Martin G. M., & Poskitt D. S. (2015).  Bias Correction of Persistence Measures in Fractionally Integrated Models. Journal of Time Series Analysis. 36(5), 721-740. doi: 10.1111/jtsa.12116
Binder, B. J., Landman K. A., Newgreen D. F., & Ross J. V. (2015).  Incomplete penetrance: The role of stochasticity in developmental cell colonization. Journal of Theoretical Biology. 380, 309-314. doi: 10.1016/j.jtbi.2015.05.028
Vo, B., Drovandi C. C., Pettitt A.N., Pettet G. J., & Byrne H. (2015).  Melanoma Cell Colony Expansion Parameters Revealed by Approximate Bayesian Computation. PLoS Computational Biology. 11(12),  doi: 10.1371/journal.pcbi.1004635
Hunt, P. R., Friesen M. C., Sama S., Ryan L. M., & Milton D. (2015).  Log-Linear Modeling of Agreement among Expert Exposure Assessors. Annals of Occupational Hygiene. 59(6), 764-774. doi: 10.1093/annhyg/mev011
Conway, A. R., & Guttmann A. (2015).  On 1324-avoiding permutations. Advances in Applied Mathematics. 64, 50-69. doi: 10.1016/j.aam.2014.12.004
Wilson, D. P., Craig A. P., Hanger J., & Timms P. (2015).   THE PARADOX OF EUTHANIZING KOALAS ( ) TO SAVE POPULATIONS FROM ELIMINATION . Journal of Wildlife Diseases. 51(4), 833-842. doi: 10.7589/2014-12-278
Knibbs, L. D., & Barnett A. G. (2015).  Assessing environmental inequalities in ambient air pollution across urban Australia. Spatial and Spatio-temporal Epidemiology. 13, 1-6. doi: 10.1016/j.sste.2015.03.001
Bean, N. G., Elliott R., Eshragh A., & Ross J. V. (2015).  On binomial observations of continuous-time Markovian population models. Journal of Applied Probability. 52(02), 457-472. doi: 10.1017/S0021900200012572
Petoumenos, K., Watson J., Whittaker B., Hoy J., Smith D., Bastian L., et al. (2015).  Subsidized optimal ART for HIV-positive temporary residents of Australia improves virological outcomes: results from the Australian HIV Observational Database Temporary Residents Access Study. Journal of the International AIDS Society. 18(1),  doi: 10.7448/IAS.18.1.19392
Sobinoff, A. P., Dando S. J., Redgrove K. A., Sutherland J. M., Stanger S. J., Armitage C. W., et al. (2014).  Chlamydia muridarum Infection-Induced Destruction of Male Germ Cells and Sertoli Cells Is Partially Prevented by Chlamydia Major Outer Membrane Protein-Specific Immune CD4 cells. Biology of Reproduction. 92(1), 27-27. doi: 10.1095/biolreprod.114.124180
Cope, R. C., Lanyon J.M., Seddon J. M., & Pollett P. (2014).  Development and testing of a genetic marker-based pedigree reconstruction system ‘PR-genie’ incorporating size-class data. Molecular Ecology Resources. 14(4), 857-870. doi: 10.1111/1755-0998.12219
Tran, M., Giordani P., Mun X., Kohn R., & Pitt M. K. (2014).  Copula-Type Estimators for Flexible Multivariate Density Modeling Using Mixtures. Journal of Computational and Graphical Statistics. 23(4), 1163-1178. doi: 10.1080/10618600.2013.842918
Keeler, H., & Taylor P. (2014).  Discussion on “On the Laplace Transform of the Aggregate Discounted Claims with Markovian Arrivals,” by Jiandong Ren, Volume 12(2). North American Actuarial Journal. 19(1), 73-77. doi: 10.1080/10920277.2014.977453
Hegland, M., Jin Q., & Wang W. (2014).  Accelerated Landweber iteration with convex penalty for linear inverse problems in Banach spaces. Applicable Analysis. 94(3), 524-547. doi: 10.1080/00036811.2014.912751
Tune, P., & Roughan M. (2014).  Maximum entropy traffic matrix synthesis. ACM SIGMETRICS Performance Evaluation Review. 42(2), 43-45. doi: 10.1145/2667522.2667536
Hall, P., Jin J., & Miller H. (2014).  Feature selection when there are many influential features. Bernoulli. 20(3), 1647-1671. doi: 10.3150/13-BEJ536
Flemming, J., & Hegland M. (2014).   Convergence rates in -regularization when the basis is not smooth enough . Applicable Analysis. 94(3), 464-476. doi: 10.1080/00036811.2014.886106
Watson, K., Farré M. José, Birt J., McGree J., & Knight N. (2014).  Predictive models for water sources with high susceptibility for bromine-containing disinfection by-product formation: implications for water treatment. Environmental Science and Pollution Research. 22(3), 1963-1978. doi: 10.1007/s11356-014-3408-4
Vercelloni, J., M. Caley J., Kayal M., Low-Choy S., Mengersen KL., & Deng Y. (2014).  Understanding Uncertainties in Non-Linear Population Trajectories: A Bayesian Semi-Parametric Hierarchical Approach to Large-Scale Surveys of Coral Cover. PLOS ONE. 9(11),  doi: 10.1371/journal.pone.0110968
Asmussen, S., Jensen J. Ledet, & Rojas-Nandayapa L. (2014).  On the Laplace Transform of the Lognormal Distribution. Methodology and Computing in Applied Probability. 18(2), 441-458. doi: 10.1007/s11009-014-9430-7
Can, T., Forrester P., Téllez G., & Wiegmann P. (2014).  Exact and Asymptotic Features of the Edge Density Profile for the One Component Plasma in Two Dimensions. Journal of Statistical Physics. 158(5), 1147-1180. doi: 10.1007/s10955-014-1152-2
Cameron, E., & Pettitt A.N. (2014).  Recursive Pathways to Marginal Likelihood Estimation with Prior-Sensitivity Analysis. Statistical Science. 29(3), 397-419. doi: 10.1214/13-STS465
Gertsbakh, I., Neuman E., & Vaisman R. (2014).  Monte Carlo for Estimating Exponential Convolution. Communications in Statistics - Simulation and Computation. 44(10), 2696-2704. doi: 10.1080/03610918.2013.842591
Taylor-Brown, A., Vaughan L., Greub G., Timms P., & Polkinghorne A. (2014).  Twenty years of research into Chlamydia-like organisms: a revolution in our understanding of the biology and pathogenicity of members of the phylum Chlamydiae. Pathogens and Disease. 1-15. doi: 10.1093/femspd/ftu009
Wu, P., Pitchforth J., & Mengersen KL. (2014).  A Hybrid Queue-based Bayesian Network framework for passenger facilitation modelling. Transportation Research Part C: Emerging Technologies. 46, 247-260. doi: 10.1016/j.trc.2014.05.005
Coil, D., Jospin G., & Darling A. E. (2014).  A5-miseq: an updated pipeline to assemble microbial genomes from Illumina MiSeq data. Bioinformatics. 31(4), 587-589. doi: 10.1093/bioinformatics/btu661
Dubossarsky, E., Friedman J. H., Ormerod J. T., & Wand M. (2014).  Wavelet-based gradient boosting. Statistics and Computing. 26(1-2), 93-105. doi: 10.1007/s11222-014-9474-0
Ye, H., Liu F., Anh V., & Turner I. (2014).  Numerical analysis for the time distributed-order and Riesz space fractional diffusions on bounded domains. IMA Journal of Applied Mathematics. 80(3), 825-838. doi: 10.1093/imamat/hxu015
Székely, T., Burrage K., Mangel M., Bonsall M. B., & Santos F. C. (2014).  Stochastic Dynamics of Interacting Haematopoietic Stem Cell Niche Lineages. PLoS Computational Biology. 10(9),  doi: 10.1371/journal.pcbi.1003794
Kempthorne, D. M., Turner I., & Belward J. A. (2014).  A Comparison of Techniques for the Reconstruction of Leaf Surfaces from Scanned Data. SIAM Journal on Scientific Computing. 36(6),  doi: 10.1137/130938761
Vodstrcil, L. A., McIver R., Huston W. M., Tabrizi S. N., Timms P., & Hocking J. S. (2014).  The Epidemiology of Chlamydia trachomatis Organism Load During Genital Infection: A Systematic Review. Journal of Infectious Diseases. 211(10), 1628-1645. doi: 10.1093/infdis/jiu670
Campbell, L. H., & Taylor P. (2014).  Renfrey Burnard Potts 1925–2005. Historical Records of Australian Science. 25(2), 291. doi: 10.1071/HR14019
Moores, M., Drovandi C. C., Mengersen KL., & Robert C. P. (2014).  Pre-processing for approximate Bayesian computation in image analysis. Statistics and Computing. 25(1), 23-33. doi: 10.1007/s11222-014-9525-6
Feenstra, J., McGarvey R., Linnane A., Punt A. E., & Bean N. G. (2014).   Environmental influences on daily commercial catch rates of South Australia's southern rock lobster (Jasus edwardsii). Fisheries Oceanography. 23(4), 362-374. doi: 10.1111/fog.12069
Kang, L. (2014).  Efficient botnet herding within the Tor network. Journal of Computer Virology and Hacking Techniques. 11(1), 19-26. doi: 10.1007/s11416-014-0229-4
Forrester, P., & Lebowitz J. L. (2014).  Local Central Limit Theorem for Determinantal Point Processes. Journal of Statistical Physics. 157(1), 60-69. doi: 10.1007/s10955-014-1071-2
Duan, Q.., Kroese D.. P., Brereton T.., Spettl A.., & Schmidt V.. (2014).  Inverting Laguerre Tessellations. The Computer Journal. 57(9), 1431 - 1440. doi: 10.1093/comjnl/bxu029
Yu, W., Mengersen KL., Dale P., Ye X., Guo Y., Turner L., et al. (2014).  Projecting Future Transmission of Malaria Under Climate Change Scenarios: Challenges and Research Needs. Critical Reviews in Environmental Science and Technology. 45(7), 777-811. doi: 10.1080/10643389.2013.852392
de Gier, J., & Finn C. (2014).  Exclusion in a priority queue. Journal of Statistical Mechanics: Theory and Experiment. 2014(7),  doi: 10.1088/1742-5468/2014/07/P07014
Huque, MH., Bondell H. D., & Ryan L. M. (2014).  On the impact of covariate measurement error on spatial regression modelling. Environmetrics. 25(8), 560-570. doi: 10.1002/env.2305
Peters, G. W., Dong A. X. D., & Kohn R. (2014).  A copula based Bayesian approach for paid–incurred claims models for non-life insurance reserving. Insurance: Mathematics and Economics. 59, 258-278. doi: 10.1016/j.insmatheco.2014.09.011
Geweke, J. (2014).   Review Essay on Charles F. Manski's . Journal of Economic Literature. 52(3), 799-804. doi: 10.1257/jel.52.3.799
Liu, S., Anh V., McGree J., Kozan E., & Wolff R. C. (2014).  A new approach to spatial data interpolation using higher-order statistics. Stochastic Environmental Research and Risk Assessment. 29(6), 1679-1690. doi: 10.1007/s00477-014-0985-1
Hall, P., & Ma Y. (2014).  Quick and easy one-step parameter estimation in differential equations. Journal of the Royal Statistical Society: Series B (Statistical Methodology). 76(4), 735-748. doi: 10.1111/rssb.12040
Koo, B., & Linton O. (2014).  LET’S GET LADE: ROBUST ESTIMATION OF SEMIPARAMETRIC MULTIPLICATIVE VOLATILITY MODELS. Econometric Theory. 31(04), 671-702. doi: 10.1017/S0266466614000516
Zeng, F., Liu F., Li C., Burrage K., Turner I., & Anh V. (2014).  A Crank--Nicolson ADI Spectral Method for a Two-Dimensional Riesz Space Fractional Nonlinear Reaction-Diffusion Equation. SIAM Journal on Numerical Analysis. 52(6), 2599-2622. doi: 10.1137/130934192
Kang, S. Yun, McGree J., & Mengersen KL. (2014).  Bayesian hierarchical models for analysing spatial point-based data at a grid level: a comparison of approaches. Environmental and Ecological Statistics. 22(2), 297-327. doi: 10.1007/s10651-014-0299-y
Davies, K.J., Green J.E.F., Bean N. G., Binder B.J., & Ross J.V. (2014).  On the derivation of approximations to cellular automata models and the assumption of independence. Mathematical Biosciences. 253, 63-71. doi: 10.1016/j.mbs.2014.04.004
Mellin, C., Mengersen KL., Bradshaw C. J. A., & M. Caley J. (2014).  Generalizing the use of geographical weights in biodiversity modelling. Global Ecology and Biogeography. 23(11), 1314-1323. doi: 10.1111/geb.12203
Davis, S., Abbasi B., Shah S., Telfer S., & Begon M. (2014).  Spatial analyses of wildlife contact networks. Journal of The Royal Society Interface. 12(102), 20141004-20141004. doi: 10.1098/rsif.2014.1004
Davis, J., Mengersen KL., Bennett S., & Mazerolle L. (2014).  Viewing systematic reviews and meta-analysis in social research through different lenses. SpringerPlus. 3(1), 511. doi: 10.1186/2193-1801-3-511
Székely, T., & Burrage K. (2014).  Stochastic simulation in systems biology. Computational and Structural Biotechnology Journal. 12(20-21), 14-25. doi: 10.1016/j.csbj.2014.10.003
Stanford, D. A., Taylor P., & Ziedins I. (2013).  Waiting time distributions in the accumulating priority queue. Queueing Systems. 77(3), 297-330. doi: 10.1007/s11134-013-9382-6
Green Acorn