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2018
Wang, X., Nott D. J., Drovandi C. C., Mengersen KL., & Evans M. (2018).  Using History Matching for Prior Choice. Technometrics. 60(4), 445 - 460.
Vercelloni, J., Clifford S., M. Caley J., Pearse A. R., Brown R., James A., et al. (2018).  Using virtual reality to estimate aesthetic values of coral reefs. Royal Society Open Science. 5(4), 172226.
[Anonymous] (2018).  Variational Approximations for Frequentist and Bayesian Inference.
Ong, V. M. H., Nott D. J., Tran M N., Sisson S., & Drovandi C. C. (2018).  Variational Bayes with synthetic likelihood. Statistics and Computing. 28(4), 971-988.
Maestrini, L., & Wand M. (2018).  Variational message passing for skew t regression. Stat. 7(1), e196.
[Anonymous] (2018).  Variational message passing for skew t regression.
Collevecchio, A. (2018).  Vertex Reinforced Jump Process and Anderson Localization. 7th Monash-Ritsumeikan Symposium on Probability and Related Fields.
Bednarz, T., & Taylor J. (2018).  Visual Analytics, HPC, Simulations & AI: Expanded Perception and Interaction. GPU Technology Conference 2018.
Filonik, D., & Bednarz T. (2018).  Visual analytics of big networks. SIGGRAPH Asia 2018 CoursesSIGGRAPH Asia 2018 Courses on - SA '18. 1 - 96.
Lock, J. G., Filonik D., Lawther R., Pather N., Gaus K., Kenderdine S., et al. (2018).  Visual analytics of single cell microscopy data using a collaborative immersive environment. the 16th ACM SIGGRAPH International ConferenceProceedings of the 16th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry - VRCAI '18. 1 - 4.
Branchaud, D., Muskovic W., Kavallaris M., Filonik D., & Bednarz T. (2018).  Visual Microscope for Massive Genomics Datasets, Expanded Perception and Interaction. OzViz 2018.
Branchaud, D., Muskovic W., Kavallaris M., Filonik D., & Bednarz T. (2018).  Visual microscope for massive genomics datasets, expanded perception and interaction. ACM SIGGRAPH 2018 PostersACM SIGGRAPH 2018 Posters on - SIGGRAPH '18. 1 - 2.
O'Donoghue, S. I., Baldi B. Frida, Clark S. J., Darling A. E., Hogan J. M., Kaur S., et al. (2018).  Visualization of Biomedical Data. Annual Review of Biomedical Data Science. 1(1), 275 - 304.
Hyndman, R. J., Liu X. Amy, & Pinson P. (2018).  Visualizing Big Energy Data: Solutions for This Crucial Component of Data Analysis. IEEE Power and Energy Magazine. 16(3), 18 - 25.
Forrester, P., & Zhang J. (2018).  Volumes and distributions for random unimodular complex and quaternion lattices. Journal of Number Theory. 190, 1 - 39.
Stanford, D., Taylor P., & Ziedins I. (2018).  Waiting Times in the Accumulating Priority Queue. Australian Mathematical Society Conference, University of Adelaide Dec 4-7..
Stanford, D., Taylor P., & Ziedins I. (2018).  Waiting Times in the Accumulating Priority Queue. Conference of the Australian Society for Operations Research, Rydges Hotel, Parkville..
Leigh, C. (2018).  Water, water, everywhere. Or maybe not. Australian Freshwater Sciences Society Conference 2018.
Leigh, C., Boersma K. S., Bonada N., Datry T., Galatowitsch M. L., Hugueny B., et al. (2018).  What’s a river without water? Citizen science and perceptions to improve ecosystem research and management. Ecological Society of Australia Conference 2018.
Keeler, H., Ross N., & Xia A. (2018).  When do wireless network signals appear Poisson?. Bernoulli. 24(3), 1973-1994.
Bini, D., Hunter J., Latouche G., Meini B., & Taylor P. (2018).  Why is Kemeny's constant a constant?. Australian Mathematical Society Conference, University of Adelaide Dec 4-7..
Bini, D., Hunter J., Latouche G., Meini B., & Taylor P. (2018).  Why is Kemeny's constant a constant?. Colloquium, School of Mathematical Sciences, RMIT..
Shah, R., & Kroese D. (2018).  Without-replacement sampling for particle methods on finite state spaces. Statistics and Computing. 28(3), 633-652.
Fu, L., Hao Y., & Wang Y-G. (2018).  Working correlation structure selection in generalized estimating equations. Computational Statistics. 33(2), 983 - 996.
Colevecchio, A., Garoni T. M., Hyndman T., & Tokarev D. (2018).  The worm process for the Ising model is rapidly mixing. The 2nd International Workshop on Critical Behavior in Lattice Models.
L. F. South (2018).  ZVCV.
2017
Tobler, R., Rohrlach AB., Soubrier J., Bover P., Llamas B., Tuke J., et al. (2017).  Aboriginal mitogenomes reveal 50,000 years of regionalism in Australia. Nature. 544, 180–184.
White, N., Benton M., Kennedy DW., Fox A., Griffiths L., Lea R., et al. (2017).  Accounting for cell lineage and sex effects in the identification of cell-specific DNA methylation using a Bayesian model selection algorithm. PLoS ONE. 12, Article number: e0182455.
Nolan, T. H., & Wand M. (2017).  Accurate logistic variational message passing: algebraic and numerical details. Stat. 6(1), 102-112.
Chen, C. Chia- Ming, Keith J.M.., & Mengersen KL. (2017).  Accurate phenotyping: Reconciling approaches through Bayesian model averaging. PLoS ONE. 12(4), e0176136.
Veerasamy, S., Samal L., Soren N., & Mortlock M. Y. (2017).  Adaptation Strategies to Counter Climate Change Impact on Sheep. Sheep Production Adapting to Climate Change. 413-430.
Medeiros, M. C., & Mendes E. F. (2017).  Adaptive LASSO estimation for ARDL models with GARCH innovations. Econometric Reviews. 36(6-9), 622 - 637.
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.
Fackrell, M., & Taylor P. (2017).  Allocation in a vertical rotary car park. (Boucherie, R. J., & van Dijk N. M., Ed.).Markov Decision Processes in Practice. 248, 337-370.
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.
lanka, N. science an (2017).  Analysis of wind speed and direction data in Hambantota district of Southern Sri Lanka. 6 th YSF Symposium.
Deilami, K., Hayes J. F., McGree J., & Goonetilleke A. (2017).  Application of landscape epidemiology to assess potential public health risk due to poor sanitation. Journal of Environmental Management. 192, 124 - 133.
Ye, N., & Bartlett P.L. (2017).  Approximate and Stochastic Greedy Optimization.
Ebert, A., Wu P., Dutta R., Mengersen KL., Ruggeri F., Mira A., et al. (2017).  Approximate Bayesian Computation for Dynamic Queueing Networks. 5th Symposium on Games and Decisions in Reliability and Risk.
Khaled, M., & Kohn R. (2017).  The approximation properties of copulas by mixtures.
Khaled, M., & Kohn R. (2017).  The approximation properties of copulas by mixtures.
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. 579, 202 - 211.
Peterson, 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.
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.
Tham, R., Vicendese D., Dharmage S. C., Hyndman R. J., Newbigin E., Lewis E., et al. (2017).  Associations between outdoor fungal spores and childhood and adolescent asthma hospitalisations. Journal of Allergy and Clinical Immunology. 139, 1140–1147.e4.
Marum, J. E., Yeung D. T., Purins L., Reynolds J., Parker W. T., Stangl D., et al. (2017).  ASXL1 and BIM germ line variants predict response and identify CML patients with the greatest risk of imatinib failure. Blood Advances. 1, 1369–1381.
Rojas-Nandayapa, L., & Xie W. (2017).  Asymptotic tail behaviour of phase-type scale mixture distributions. Annals of Actuarial Science. 1 - 21.
Saunders, K. (2017).  An Australia wide model for rainfall extremes. Extreme Value Analysis.
Chipperfield, J., Brown 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.
Behlul, T., Panagiotelis A., Athanasopoulos G., Hyndman R. J., & Vahid F. (2017).  The Australian Macro Database: An online resource for macroeconomic research in Australia.

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