Publications

Found 1525 results
Submitted
Kennedy, DW., White N., Mengersen KL., & Lea R. (Submitted).  Cell-type specific analysis of heterogeneous methylation signal using a Bayesian model-based approach.
In Press
Turschwell, M. P., Stewart-Koster B., Leigh C., Peterson 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.
2018
Gunawan, D., Griffiths W. E., & Chotikapanich D. (2018).  Bayesian inference for health inequality and welfare using qualitative data. Economics Letters. 162, 76 - 80.
Muñoz, M. A., Villanova L., Baatar D., & Smith-Miles K. (2018).  Instance spaces for machine learning classification. Machine Learning. 107(1), 109 - 147.
Bergmeir, C., Hyndman R. J., & Koo B. (2018).  A note on the validity of cross-validation for evaluating autoregressive time series prediction. Computational Statistics & Data Analysis. 120, 70-83.
Meier, A.D.., de Laat M.A.., Reiche D.B.., Pollitt C.C.., Walsh D.M.., McGree J., et al. (2018).  The oral glucose test predicts laminitis risk in ponies fed a diet high in nonstructural carbohydrates. Domestic Animal Endocrinology. 63, 1 - 9.
Saviniec, L.., Santos M.O.., & Costa A.M.. (2018).  Parallel local search algorithms for high school timetabling problems. European Journal of Operational Research. 265,
Patch, B., & Taimre T. (2018).  Transient provisioning and performance evaluation for cloud computing platforms: A capacity value approach. Performance Evaluation. 118,
Wijesiri, B., Deilami K., McGree J., & Goonetilleke A. (2018).  Use of surrogate indicators for the evaluation of potential health risks due to poor urban water quality: A Bayesian Network approach. Environmental Pollution. 233, 655 - 661.
2017
Fan, Y.., Meikle S.. R., Angelis G.., & Sitek A.. (2017).  ABC in nuclear imaging. Handbook of Approximate Bayesian Computation.
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.
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.
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(9), e0182455.
Nolan, T. H., & Wand M. (2017).  Accurate logistic variational message passing: algebraic and numerical details. Stat. 6(1), 102-112.
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. Macgregor, & Mengersen KL. (2017).  Accurate phenotyping: Reconciling approaches through Bayesian model averaging. PLoS ONE. 12, e0176136–e0176136.
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.
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.
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.
Overstall, A. M., McGree J., & Drovandi C. C. (2017).  An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functions. Statistics and Computing.
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.
Peralta, O., Rojas-Nandayapa L., Xie W., & Yao H. (2017).  Approximation of ruin probabilities via Erlangized scale mixtures. Insurance: Mathematics and Economics.
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.
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.
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.
Rojas-Nandayapa, L., & Xie W. (2017).  Asymptotic tail behaviour of phase-type scale mixture distributions. Annals of Actuarial Science. 1 - 21.
[Anonymous] (2017).  An Australia wide model for rainfall extremes. Extreme Value Analysis.
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.
Sisson, S. A. (2017).  Bayes on the Beach Keynote. Bayes on the Beach.
Carvajal, G.. E., Roser D.. J., Sisson S. A., Keegan A.., & Kahn S.. (2017).  Bayesian belief network modelling of chlorine disinfection for human pathogenic viruses in municipal wastewater.. Water Research. 109,
Eklund, A., Lindquist M. A., & Villani M. (2017).  A Bayesian heteroscedastic GLM with application to fMRI data with motion spikes. NeuroImage. 155, 354–369.
[Anonymous] (2017).  Bayesian Maths and Stats meets new technology. ISI2017- 61st World Statistics Congress.
[Anonymous] (2017).  Bayesian Maths and Stats meets new technology. WIMSIG women-in-mathematical-sciences conference.
Fan, Y., Olson R., & Evans J. P. (2017).  A Bayesian posterior predictive framework for weighting ensemble regional climate models. Geoscientific Model Development. 10(6), 2321 - 2332.
Chen, C. Chia- Ming, Drovandi C. C., Keith J. M., Anthony K., M. Caley J., & Mengersen KL. (2017).  Bayesian semi-individual agent based model with approximate Bayesian computation for parameters calibration: Modelling Crown-of-Thorns Starfish population on the Great Barrier Reef. Ecological Modelling. 364, 113–123.
Chen, C.C.-M.., Drovandi C. C., Keith J.M.., Anthony K.., M. Caley J., & Mengersen KL. (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.
Price, L.. F., Drovandi C. C., Lee A.., & Nott D.. J. (2017).  Bayesian Synthetic Likelihood. Journal of Computational and Graphical Statistics. 1 - 11.
Liquet, B.., Mengersen KL., Pettitt A.N., & Sutton M. (2017).  Bayesian Variable Selection Regression of Multivariate Responses for Group Data. Bayesian Analysis. 12(4), 1039 - 1067.
Benoit, L., & Jerome S. (2017).  BIG-SIR a Sliced Inverse Regression Approach for Massive Data. IASC-ARS/NZSA.
Fan, X.., Li B.., & Sisson S. A. (2017).  The binary space partitioning tree process. ACEMS Annual Retreat poster presentation.
Tran, M-N., Kohn R., Quiroz M., & Villani M. (2017).  The block pseudo-marginal sampler. Bayes on the beach.
Hawinkel, S., Mattiello F., Bijnens L., & Thas O. (2017).  A broken promise: microbiome differential abundance methods do not control the false discovery rate. Briefings in Bioinformatics.
Ryan, L. M. (2017).  But I'm a Data Scientist Too, Aren't I? . Annual Meeting of the Eastern North American Region of the International Biometric Society.
Green Acorn