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2017
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.
Maltby, V. E., Lea R. A., Saunders K., White N., Benton M. C., Scott R. J., et al. (2017).  Differential methylation at MHC in CD4+ T cells is associated with multiple sclerosis independently of HLA-DRB1. Clinical Epigenetics. 9(1), 
Gan, H. L., Röllin A., & Ross N. (2017).  Dirichlet approximation of equilibrium distributions in Cannings models with mutation. Advances in Applied Probability. 49(03), 927 - 959.
Ross, N. (2017).  Dirichlet approximation of equilibrium distributions in Cannings models with mutation.
Lancsar, E., Fiebig D. G., & Hole A. Risa (2017).  Discrete Choice Experiments: A Guide to Model Specification, Estimation and Software. PharmacoEconomics. 35(7), 697 - 716.
L. F. South, 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).
TARCA, SILVIO., Roughan M., Etugrul N., & Bean N. G. (2017).  Dispatchability of Wind Power with Battery Energy Storage in South Australia. 1st International Conference on Energy and Power, RMIT Univ, Melbourne, AUSTRALIA, 14 Dec 2016 - 16 Dec 2016. Energy Procedia, 1-7.
Prowse, T. A. A., Cassey P., Ross J.V., Pfitzner C., Wittmann T. A., & Thomas P. (2017).  Dodging silver bullets: good CRISPR gene-drive design is critical for eradicating exotic vertebrates. Proceedings of the Royal Society B: Biological Sciences. 284(1860), 20170799.
Steponavič\.e, I., Hyndman R. J., Smith-Miles K., & Villanova L. (2017).  Dynamic Algorithm Selection for Pareto Optimal Set Approximation. Journal of Global Optimization. 67, 263-282.
Cook, D., Ebert A., Hofmann H., Hyndman R., Lumley T., Marwick B., et al. (2017).  eechidna: Exploring Election and Census Highly Informative Data Nationally for Australia.
Ong, R. H., King A. J. C., Kaandorp J. A., Mullins B. J., M. Caley J., & Gorokhova E. (2017).  The effect of allometric scaling in coral thermal microenvironments. PLOS ONE. 12(10), e0184214.
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.
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.
Fraser, M. W., Short J., Kendrick G., McLean D., Keesing J., Byrne M., et al. (2017).  Effects of dredging on critical ecological processes for marine invertebrates, seagrasses and macroalgae, and the potential for management with environmental windows using Western Australia as a case study. Ecological Indicators. 78, 229 - 242.
Gunawan, D., Carter C., Fiebig D. G., & Kohn R. (2017).  Efficient Bayesian Estimation for Flexible Panel Models for Multivariate Outcomes: Impact of life events on mental health and excessive alcohol consumption.
Gunawan, D., Carter C., Fiebig D. G., & Kohn R. (2017).  Efficient Bayesian Estimation for Flexible Panel Models for Multivariate Outcomes: Impact of Life events on mental health and excessive alcohol consumption.
Gunawan, D., Carter C., & Kohn R. (2017).  Efficient Bayesian inference for multivariate factor stochastic volatility models with leverage.
Gunawan, D., Carter C., & Kohn R. (2017).  Efficient Bayesian inference for multivariate factor stochastic volatility models with leverage.
Zaidi, N. A., Webb G. I., Carman M. J., Petitjean F., Buntine W., Hynes M., et al. (2017).  Efficient parameter learning of Bayesian network classifiers. Machine Learning. 106(9-10), 1289 - 1329.
Ebert, A., Wu P., Mengersen KL., & Ruggeri F. (2017).  Efficient simulation of complex queueing systems with the R package queuecomputer. French R meeting.
L. F. South, Pettitt A.N., Friel N., & Drovandi C. C. (2017).  Efficient Use of Derivative Information within SMC Methods for Static Bayesian Models.
Peterson, E. (2017).  Environmental and Biological Monitoring in the Era of Big Data. 62nd RBRAS and 17th Annual SEAGRO joint meeting.
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.
Simmons, A., Burrage P., Nicolau D. V., Lakhani S. R., & Burrage K. (2017).  Environmental factors in breast cancer invasion: a mathematical modelling review. Pathology.
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.
Chipperfield, J., Brown J., & Bell P. (2017).  Estimating the Count Error in the Australian CensusAbstract. Journal of Official Statistics. 33(1), 
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), 
Aswi, A.., Cramb S., Duncan E., & Mengersen KL. (2017).  Evaluating the impact of small number of areas on spatial estimation. The Young Statistician Conference (YSC).
Schram, R. D., Barkema G. T., Bisseling R. H., & Clisby N. (2017).  Exact enumeration of self-avoiding walks on BCC and FCC lattices. J. Stat. Mech: Theory Exp.. 2017, 083208.
Bueno-Orovio, A., & Burrage K. (2017).  Exact solutions to the fractional time-space Bloch–Torrey equation for magnetic resonance imaging. Communications in Nonlinear Science and Numerical Simulation. 52, 91–109.
Quiroz, M., Tran M N., Villani M., & Kohn R. (2017).  Exact Subsampling MCMC. 1st International Conference on Econometrics and Statistics (EcoSta 2017).
Taimre, T., & Laub P. (2017).  Exploiting asymptotic structure for efficient rare-event estimation for sums of random variables.
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.
Wand, M. (2017).  Fast Approximate Inference for Arbitrarily Large Semiparametric Regression Models via Message Passing. Journal of the American Statistical Association. 112(517), 137 - 168.
Sidén, P., Eklund A., Bolin D., & Villani M. (2017).  Fast Bayesian whole-brain fMRI analysis with spatial 3D priors. NeuroImage. 146, 211–225.
Parsonage, E., & Roughan M. (2017).  Fast Generation of Spatially Embedded Random Networks. IEEE Transactions on Network Science and Engineering. 4(2), 112 - 119.
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.
McVinish, R., & Hodgkinson L. (2017).  Fast simulation of metapopulation models. Melbourne-Singapore Probability and Statistics Forum.
Bornemann, F., Forrester P., & Mays A. (2017).  Finite Size Effects for Spacing Distributions in Random Matrix Theory: Circular Ensembles and Riemann Zeros. Studies in Applied Mathematics. 138(4), 401 - 437.
Fiebig, D. G., & Johar M. (2017).  Forecasting with Micro Panels: The Case of Health Care Costs. Journal of Forecasting. 36(1), 1 - 15.
Athanasopoulos, G., Hyndman R. J., Kourentzes N., & Petropoulos F. (2017).  Forecasting with temporal hierarchies. European Journal of Operational Research. 262, 60-74.
Gong, L., Huang L., Tune P., Han J., Chuah C-N., Roughan M., et al. (2017).  ForestStream: Accurate Measurement of Cascades in Online Social Networks. 2017 26th International Conference on Computer Communication and Networks (ICCCN)2017 26th International Conference on Computer Communication and Networks (ICCCN). 1 - 9.
Foumani, M., Smith-Miles K., Gunawan I., & Moeini A. (2017).  A framework for stochastic scheduling of two-machine robotic rework cells with in-process inspection system. Computers & Industrial Engineering. 112, 492 - 502.
Mengersen, KL. (2017).  Future Think. Young Statisticians Conference 2017.
Quiroz, M., Nott D., & Kohn R. (2017).  Gaussian variational approximation for high-dimensional state space models. The Sydney Time Series & Forecasting Symposium.
Loertscher, S., Muir E., & Taylor P. (2017).  A general noncentral hypergeometric distribution. Communications in Statistics - Theory and Methods. 46, 4579-4598.
Ji, Y., & Xie H. (2017).  Generalized Multivariate Singular Spectrum Analysis for Nonlinear Time Series De-Noising and Prediction. Chinese Physics Letters. 34(12), 
Samuelson, A., O'Reilly MM., & Bean N. G. (2017).  On the generalized reward generator for stochastic fluid models: A new equation for Ψ . Stochastic Models. 1 - 29.
Muñoz, M. A., & Smith-Miles K. (2017).  Generating custom classification datasets by targeting the instance space. the Genetic and Evolutionary Computation Conference CompanionProceedings of the Genetic and Evolutionary Computation Conference Companion on - GECCO '17. 1582 - 1588.
Ridout, D. (2017).  A (gentle) introduction to logarithmic conformal field theory. Integrability in Low-Dimensional Quantum Systems.

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