ACEMS Publications

Turschwell, M. P., Stewart-Koster B., Leigh C., Peterson E. E., Sheldon F., & Balcombe S.R.. (In Press).  Riparian restoration offsets predicted negative population consequences of climate warming in a threatened headwater fish. Aquatic Conservation.
Zhang, H.., Liu F.., Turner I.., Chen S.., & Yang Q.. (2017).  Numerical simulation of a Finite Moment Log Stable model for a European call option. Numerical Algorithms. 75(3), 569 - 585. doi: 10.1007/s11075-016-0212-x
Li, J.., Liu F.., Feng L.., & Turner I.. (2017).  A novel finite volume method for the Riesz space distributed-order diffusion equation. Computers & Mathematics with Applications. 74(4), 772 - 783. doi: 10.1016/j.camwa.2017.05.017
Helmstedt, K.. J., & Possingham H.. P. (2017).  Costs are key when reintroducing threatened species to multiple release sites. Animal Conservation. 20(4), 331 - 340. doi: 10.1111/acv.2017.20.issue-4,10.1111/acv.12319
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
Drovandi, C. C., Holmes C. C., McGree J. M., Mengersen K., Richardson S., & Ryan E. G. (2017).  Principles of Experimental Design for Big Data Analysis. Statistical Science. 32(3), 385 - 404. doi: 10.1214/16-STS604
Proust-Lima, C., Philipps V., & Liquet B. (2017).  Estimation of Extended Mixed Models Using Latent Classes and Latent Processes: The R Package lcmm. Journal of Statistical Software. 78(2),  doi: 10.18637/jss.v078.i02
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
Foy, B. H., Perré P., & Turner I. (2017).  The Meshfree Finite Volume Method with application to multi-phase porous media models. Journal of Computational Physics. 333, 369 - 386. doi: 10.1016/j.jcp.2016.12.045
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
Bouchet, P. J., Meeuwig J. J., Huang Z., Letessier T. B., Nichol S. L., M. Caley J., et al. (2017).  Continental-scale hotspots of pelagic fish abundance inferred from commercial catch records. Global Ecology and Biogeography. 26(10), 1098 - 1111. doi: 10.1111/geb.2017.26.issue-10,10.1111/geb.12619
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
Beck, K.L.., Jones B.., Ullah I.., McNaughton S.A.., Haslett S.J.., & Stonehouse W.. (2017).  Associations between dietary patterns, socio-demographic factors and anthropometric measurements in adult New Zealanders: an analysis of data from the 2008/09 New Zealand Adult Nutrition Survey. European Journal of Nutrition.
Lee, J. Y. L., Brown J. J., & Ryan L. M. (2017).  Sufficiency Revisited: Rethinking Statistical Algorithms in the Big Data Era. The American Statistician. 71(3), 202 - 208. doi: 10.1080/00031305.2016.1255659
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
Qin, S., Liu F., Turner I. W., Yang Q., & Yu Q. (2017).  Modelling anomalous diffusion using fractional Bloch–Torrey equations on approximate irregular domains. Computers & Mathematics with Applications. doi: 10.1016/j.camwa.2017.08.032
LEE, X.. J., FULFORD G.. R., PETTITT A.. N., & RUGGERI F.. (2017).  A stochastic model for MRSA transmission within a hospital ward incorporating environmental contaminationSUMMARY. Epidemiology and Infection. 145(04), 825 - 838. doi: 10.1017/S0950268816002880
Varney, J., Zarrouk S. J., Bean N., & Bendall B. (2017).  Performance measures in geothermal power developements. Renewable Energy. 101, 835 - 844. doi: 10.1016/j.renene.2016.09.046
Rahman, M. Mahmudur, Yeganeh B., Clifford S., Knibbs L. D., & Morawska L. (2017).  Development of a land use regression model for daily NO 2 and NO x concentrations in the Brisbane metropolitan area, Australia. Environmental Modelling & Software. 95, 168 - 179. doi: 10.1016/j.envsoft.2017.06.029
Dinh, V., Darling A. E.,, & Frederick A. (2017).  Online Bayesian phylogenetic inference: theoretical foundations via Sequential Monte Carlo. Systematic Biology. In press.
Psaltis, S., Farrell T., Burrage K., Burrage P., McCabe P., Moroney T., et al. (2017).  Using population of models to investigate and quantify gas production in a spatially heterogeneous coal seam gas field. Applied Mathematical Modelling. 49, 338 - 353. doi: 10.1016/j.apm.2017.05.005
Coutts, S. R., Helmstedt K. J., & Bennett J. R. (2017).  Invasion lags: The stories we tell ourselves and our inability to infer process from pattern. (Roura-Pascual, N., Ed.).Diversity and Distributions. doi: 10.1111/ddi.12669
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
Chen, C.C.-M.., Drovandi C.C.., Keith J.M.., Anthony K.., Caley M.J.., & Mengersen K.L.. (2017).  Bayesian semi-individual based model with approximate Bayesian computation for parameters calibration: Modelling Crown-of-Thorns populations on the Great Barrier Reef. Ecological Modelling. 364, 113 - 123. doi: 10.1016/j.ecolmodel.2017.09.006
Turschwell, M. P., Balcombe S. R., E. Steel A., Sheldon F., & Peterson E. E. (2017).  Thermal habitat restricts patterns of occurrence in multiple life-stages of a headwater fish. Freshwater Science. 36(2), 402 - 414. doi: 10.1086/691553
Qin, S., Liu F., Turner I. W., Yu Q., Yang Q., & Vegh V. (2017).  Characterization of anomalous relaxation using the time-fractional Bloch equation and multiple echo T 2 *-weighted magnetic resonance imaging at 7 T. Magnetic Resonance in Medicine. 77(4), 1485 - 1494. doi: 10.1002/mrm.v77.4,10.1002/mrm.26222
Da Silva, R.., Mazumdar A.., Mapder T.., Peketi A.., Joshi R.. K., Shaji A.., et al. (2017).  Salinity stratification controlled productivity variation over 300 ky in the Bay of Bengal. Scientific Reports. 7(1),  doi: 10.1038/s41598-017-14781-3
Wang, J. J. J., Bartlett M., & Ryan L. (2017).  On the impact of nonresponse in logistic regression: application to the 45 and Up study. BMC Medical Research Methodology. 17(1),  doi: 10.1186/s12874-017-0355-z
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
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
Feng, L., Liu F., Turner I., & Zhuang P. (2017).  Numerical methods and analysis for simulating the flow of a generalized Oldroyd-B fluid between two infinite parallel rigid plates. International Journal of Heat and Mass Transfer. 115, 1309 - 1320. doi: 10.1016/j.ijheatmasstransfer.2017.08.105
Friel, N., McKeone JP., Oates C. J., & Pettitt A. N. (2017).  Investigation of the widely applicable Bayesian information criterion. Statistics and Computing. 27, 833–844.
Fitzgerald, S. Paul, Bean N. Geoffrey, & Fitzgerald L. Nicole (2017).  Population data indicate that thyroid regulation is consistent with an equilibrium-point model, but not with a set-point model. Temperature. 4(2), 114 - 116. doi: 10.1080/23328940.2017.1281370
Rahman, M. Mahmudur, Mazaheri M., Clifford S., & Morawska L. (2017).  Estimate of main local sources to ambient ultrafine particle number concentrations in an urban area. Atmospheric Research. 194, 178 - 189. doi: 10.1016/j.atmosres.2017.04.036
Fourment, M., Claywell B. C., Dinh V., McCoy C., Matsen F. A., & Darling A. E. (2017).  Effective online Bayesian phylogenetics via sequential Monte Carlo with guided proposals. Systematic Biology. In press.
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
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
Patch, B., & Taimre T. (2017).  Transient provisioning and performance evaluation for cloud computing platforms: A capacity value approach. Performance Evaluation.
Overstall, A. M., McGree J. M., & Drovandi C. C. (2017).  An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functions. Statistics and Computing. doi: 10.1007/s11222-017-9734-x
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
Chong, H. Phern, J. Frøen F., Richardson S., Liquet B., D. Charnock-Jones S., & Smith G. C. S. (2017).  Age at menarche and the risk of operative delivery. The Journal of Maternal-Fetal & Neonatal Medicine. 1 - 8. doi: 10.1080/14767058.2017.1381823
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,
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
Wang, J. J. J., Bartlett M., & Ryan L. (2017).  Non-ignorable missingness in logistic regression. Statistics in Medicine. 36(19), 3005 - 3021. doi: 10.1002/sim.v36.19,10.1002/sim.7349
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
Peterson, E. E., Cunningham S. A., Thomas M., Collings S., Bonnett G. D., & Harch B. (2017).  An assessment framework for measuring agroecosystem health. Ecological Indicators. 79, 265 - 275. doi: 10.1016/j.ecolind.2017.04.002
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
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. 42, 554 - 565. doi: 10.1016/j.apm.2016.10.021
Mandjes, M., Patch B., & Walton N. (2017).  Detecting Markov Chain Instability: A Monte Carlo Approach. Stochastic Systems.
Samuelson, A., O’Reilly M. M., & Bean N. G. (2017).  On the generalized reward generator for stochastic fluid models: A new equation for Ψ . Stochastic Models. 1 - 29. doi: 10.1080/15326349.2017.1347883
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
Colin, B., Clifford S., Wu P., Rathmanner S., & Mengersen K. (2017).  Using Boosted Regression Trees and Remotely Sensed Data to Drive Decision-Making. Open Journal of Statistics. 07(05), 859 - 875. doi: 10.4236/ojs.2017.75061
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
Quince, C., Delmont T. O., Raguideau S., Alneberg J., Darling A. E., Collins G., et al. (2017).  DESMAN: a new tool for de novo extraction of strains from metagenomes. Genome biology. 18, 181.
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
Rebuli, N. P., Bean N.G.., & Ross J.V.. (2017).  Estimating the basic reproductive number during the early stages of an emerging epidemic. Theoretical Population Biology. doi: 10.1016/j.tpb.2017.10.004
Salimi, F., Rahman M.. Mahmudur, Clifford S., Ristovski Z., & Morawska L. (2017).  Nocturnal new particle formation events in urban environments. Atmospheric Chemistry and Physics. 17(1), 521 - 530. doi: 10.5194/acp-17-521-2017
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
Jahan, F., Siddika B., Chowdhury R. I., & M Islam A. (2017).  A Poisson-Poisson Model to analyze congestion data. Advances and Applications in Statistics.
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
Li, J.., Liu F.., Feng L.., & Turner I.. (2017).  A novel finite volume method for the Riesz space distributed-order advection–diffusion equation. Applied Mathematical Modelling. 46, 536 - 553. doi: 10.1016/j.apm.2017.01.065
Carr, E.J.., Turner I.W.., & Perré P.. (2017).  Macroscale modelling of multilayer diffusion: Using volume averaging to correct the boundary conditions. Applied Mathematical Modelling. 47, 600 - 618. doi: 10.1016/j.apm.2017.03.044
Ye, N., Somani A., Hsu D., & Lee W. Sun (2017).  DESPOT: Online POMDP planning with regularization. Journal of Artificial Intelligence Research. 58, 231–266.
Nolan, T. H., & Wand M. P. (2017).  Accurate logistic variational message passing: algebraic and numerical details. Stat. 6(1), 102 - 112. doi: 10.1002/sta4.139
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
Zhao, Y., Zhang Y., Liu F.., Turner I.., Tang Y., & Anh V.. (2017).  Convergence and superconvergence of a fully-discrete scheme for multi-term time fractional diffusion equations. Computers & Mathematics with Applications. 73(6), 1087 - 1099. doi: 10.1016/j.camwa.2016.05.005
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
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
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
Foster, S. D., Hosack G. R., Lawrence E., Przeslawski R., Hedge P., M. Caley J., et al. (2017).  Spatially balanced designs that incorporate legacy sites. Methods in Ecology and Evolution. 8(11), 1433 - 1442. doi: 10.1111/mee3.2017.8.issue-11,10.1111/2041-210X.12782
Morawska, L.., Ayoko G.A.., Bae G.N.., Buonanno G.., Chao C.Y.H.., Clifford S.., et al. (2017).  Airborne particles in indoor environment of homes, schools, offices and aged care facilities: The main routes of exposure. Environment International. 108, 75 - 83. doi: 10.1016/j.envint.2017.07.025
Chipperfield, J., Brown J., & Bell P. (2017).  Estimating the Count Error in the Australian CensusAbstract. Journal of Official Statistics. 33(1),  doi: 10.1515/jos-2017-0003
Duan, Q., & Kroese D. P. (2017).  Splitting for Multi-objective Optimization. Methodology and Computing in Applied Probability. doi: 10.1007/s11009-017-9572-5
Liquet, B.., Mengersen K.., PETTITT A.. N., & Sutton M.. (2017).  Bayesian Variable Selection Regression of Multivariate Responses for Group Data. Bayesian Analysis. 12(4), 1039 - 1067. doi: 10.1214/17-BA1081,10.1214/17-BA1081SUPP
Rebuli, N. P., Bean N.. G., & Ross J.. V. (2017).  Hybrid Markov chain models of S–I–R disease dynamics. Journal of Mathematical Biology. 75(3), 521 - 541. doi: 10.1007/s00285-016-1085-2
Yeganeh, B., Hewson M. G., Clifford S., Knibbs L. D., & Morawska L. (2017).  A satellite-based model for estimating PM 2.5 concentration in a sparsely populated environment using soft computing techniques. Environmental Modelling & Software. 88, 84 - 92. doi: 10.1016/j.envsoft.2016.11.017
Dinh, V., Darling A. E., & IV F. A. Matsen (2017).  Online Bayesian phylogenetic inference: theoretical foundations via Sequential Monte Carlo. Systematic Biology. In press.
Oates, C., Kasza J., Simpson J. A., & Forbes A. B. (2017).  Repair of partly misspecified causal diagrams. Epidemiology.
Redman, A. L., Bailleres H., Perré P., Carr E., & Turner I. (2017).  A relevant and robust vacuum-drying model applied to hardwoods. Wood Science and Technology. 51(4), 701 - 719. doi: 10.1007/s00226-017-0908-7
Rodrigues, T., & Fan Y. (2017).  Regression adjustment for noncrossing Bayesian quantile regression. Journal of Computational and Graphical Statistics. doi: 10.1080/10618600.2016.1172016
Qin, S., Liu F., Turner I., Vegh V., Yu Q., & Yang Q. (2017).  Multi-term time-fractional Bloch equations and application in magnetic resonance imaging. Journal of Computational and Applied Mathematics. 319, 308 - 319. doi: 10.1016/j.cam.2017.01.018
Mays, A., & Ponsaing A. (2017).  An induced real quaternion spherical ensemble of random matrices. Random Matrices: Theory and Applications. 06(01), 1750001. doi: 10.1142/S2010326317500010
Wand, M.. P. (2017).  Fast Approximate Inference for Arbitrarily Large Semiparametric Regression Models via Message Passing. Journal of the American Statistical Association. 112(517), 137 - 168. doi: 10.1080/01621459.2016.1197833
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
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
Hoef, J. M. Ver, Peterson E. E., Hooten M. B., Hanks E. M., & Fortin M-J. (2017).  Spatial Autoregressive Models for Statistical Inference from Ecological Data. Ecological Monographs. doi: 10.1002/ecm.1283
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
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. 73(6), 1155 - 1171. doi: 10.1016/j.camwa.2016.06.007
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
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
Paul, S., Wang Y-G., & Ullah I. (2017).  A Review of the Behrens-Fisher Problem and Some of Its Analogs: Does the Same Size Fit All?. REVSTAT.
Chipperfield, J., Brown J. J., & Watson N. (2017).  The Australian Census Longitudinal Dataset: using record linkage to create a longitudinal sample from a series of cross-sections. Australian & New Zealand Journal of Statistics. 59(1), 1 - 16. doi: 10.1111/anzs.2017.59.issue-1,10.1111/anzs.12177
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
South, L. F., Drovandi C. C., & Pettitt A. N. (2017).  Discussion of: A Bayesian information criterion for singular models. Journal of the Royal Statistical Society, Series B (Statistical Methodology).
Ballard, P.G.., Bean N.G.., & Ross J.V.. (2017).  Intervention to maximise the probability of epidemic fade-out. Mathematical Biosciences. 293, 1 - 10. doi: 10.1016/j.mbs.2017.08.003
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
Rivas, I., Mazaheri M., Viana M., Moreno T., Clifford S., He C., et al. (2017).  Identification of technical problems affecting performance of DustTrak DRX aerosol monitors. Science of The Total Environment. 584-585, 849 - 855. doi: 10.1016/j.scitotenv.2017.01.129
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.
Fourment, M., Claywell B. C., Dinh V., McCoy C., IV F. A. Matsen, & Darling A. E. (2017).  Effective online Bayesian phylogenetics via sequential Monte Carlo with guided proposals. Systematic Biology. In press.
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
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
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
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
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
Mellin, C., M. MacNeil A., Cheal A. J., Emslie M. J., M. Caley J., & Bellwood D. (2016).  Marine protected areas increase resilience among coral reef communities. Ecology Letters. 19(6), 629 - 637. doi: 10.1111/ele.12598
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
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
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
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
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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
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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
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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
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
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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
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
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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
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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/j.cam.2014.06.020
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
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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
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
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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
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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
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
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/j.energy.2015.05.107
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
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
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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
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
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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
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
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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/j.jcp.2015.02.012
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
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
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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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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
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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
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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
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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
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