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2021
Tierney, N., & Babu A. (2021).  yahtsee: Yet Another Hierachical Time Series Extension and Expansion.
Amaliah, D., Cook D., & Tanaka E. (2021).  yowie: Longitudinal Wages Data from the National Longitudinal Survey of Youth 1979.
2020
[Anonymous] (2020).  2018 MATRIX Annals. (de Gier, J., Praeger C. E., Wood D. R., & Tao T., Ed.).MATRIX Book Series. 3,
CC, D. (2020).  ​Accelerating sequential Monte Carlo with surrogate likelihoods. Research seminar for Chalmers University of Technology, Sweden (Webinar).
CC, D. (2020).  ACEMS RSS Funding Outcomes. ACEMS 2020 Virtual Retreat.
Schlaff, A., Menendez P., Hall M., Heupel M., Armstrong T., & Motti C. (2020).  Acoustic tracking of a large predatory marine gastropod, Charonia tritonis, on the Great Barrier Reef. Marine Ecology Progress Series. 642, 147-161.
Mehra, S., McCaw J. M., Flegg M. B., Taylor P., & Flegg J. A. (2020).  An Activation-Clearance Model for Plasmodium vivax Malaria. Bulletin of Mathematical Biology. 82(2), 32.
Yang, Y., Ge J., Yue D., Meng Q., & Wu J. (2020).  Adaptive Resilient Control of a Class of Nonlinear Systems Based on Event-Triggered Mechanism. Neurocomputing. 403, 304-313.
Kandanaarachchi, S. (2020).  airt.
Zhou, Y., Lin Y-fan., Meng X., Duan Q., Wang Z., Yang B., et al. (2020).  Anal human papillomavirus among men who have sex with men in three metropolitan cities in southern China: implications for HPV vaccination. Vaccine. 38(13), 2849 - 2858.
Bon, J. J., Baffour B., Spallek M., & Haynes M. (2020).  Analysing Sensitive Data from Dynamically-Generated Overlapping Contingency TablesAbstract. Journal of Official Statistics. 36(2), 275 - 296.
Lee, J. Y. L., Green P. J., & Ryan L. M. (2020).  Analysis of grouped data using conjugate generalized linear mixed modelsSummary. Biometrika. 107(1), 231-237.
Delean, S., Prowse T. A. A., Ross J. V., & Tuke J. (2020).  Analyzing Time Series Data: Single-Species Abundance Modeling. (Murray, D. L., & Sandercock B. K., Ed.).Population Ecology in Practice. 79-102.
Furtwängler, A., Rohrlach A.. B., Lamnidis T. C., Papac L., Neumann G. U., Siebke I., et al. (2020).  Ancient genomes reveal social and genetic structure of Late Neolithic Switzerland. Nature Communications. 11(1), 1915.
Rivollat, M., Jeong C., Schiffels S., Küçükkalıpçı İ., Pemonge M-H., Rohrlach A. Benjamin, et al. (2020).  Ancient genome-wide DNA from France highlights the complexity of interactions between Mesolithic hunter-gatherers and Neolithic farmers. Science Advances. 6(22), eaaz5344.
Talagala, P. Dilini, Hyndman R. J., Smith-Miles K., Kandanaarachchi S., & Muñoz M. A. (2020).  Anomaly Detection in Streaming Nonstationary Temporal Data. Journal of Computational and Graphical Statistics. 29(1), 13-27.
Talagala, P. Dilini (2020).  Anomaly Detection in Streaming Time Series Data. 40th International Symposium on Forecasting.
Ho, R., McDonald C., Pauls J. P., & Li Z. (2020).  Aortic cannula orientation and flow impacts embolic trajectories: computational cardiopulmonary bypassIntroduction:Methods:Results:Conclusion:. Perfusion. 35(5), 409 - 416.
Ullah, I., & Mengersen K. L. (2020).  Application of Bayesian Mixture Models to Satellite Images and Estimating the Risk of Fire-Ant Incursion in the Identified Geographical Cluster. (Mengersen, K. L., Pudlo P., & Robert C. P., Ed.).Lecture Notes in Mathematics: Case Studies in Applied Bayesian Data Science. 2259, 399 - 417.
Hartigan, J., MacNamara S., & Leslie L. M. (2020).  Application of Machine Learning to Attribution and Prediction of Seasonal Precipitation and Temperature Trends in Canberra, Australia. Climate. 8(6), 76.
Xiao, M., Hamilton D. P., O’Brien K. R., Adams M. P., Willis A., & Burford M. A. (2020).  Are laboratory growth rate experiments relevant to explaining bloom-forming cyanobacteria distributions at global scale?. Harmful Algae. 92, 101732.
Naim, F., Shand K., Hayashi S., O’Brien M., McGree J., Johnson A. A. T., et al. (2020).  Are the current gRNA ranking prediction algorithms useful for genome editing in plants?. PLOS ONE. 15(1), e0227994.
Weber, D., Nasim M., Falzon L., & Mitchell L. (2020).  #ArsonEmergency and Australia’s “Black Summer”: Polarisation and Misinformation on Social Media. (van Duijn, M., Preuss M., Spaiser V., Takes F., & Verberne S., Ed.).Lecture Notes in Computer Science: Disinformation in Open Online Media. 12259, 159 - 173.
Haque, S., & Mengersen K. (2020).  Assessing the accuracy of individual link with varying block sizes and cutoff values using MaCSim approach. Communications in Statistics - Theory and Methods. 1 - 23.
Gill, J. S., Clark S., Kadatz M., & Gill J. (2020).  The association of pretransplant dialysis exposure with transplant failure is dependent on the state‐specific rate of dialysis mortality. American Journal of Transplantation. 20(9), 2481-2490.
Zhang, Y., Bambrick H., Mengersen K., Tong S., Feng L., Liu G., et al. (2020).  Association of weather variability with resurging pertussis infections among different age groups: A non-linear approach. Science of The Total Environment. 719, 137510.
Hartigan, J., MacNamara S., Leslie L. M., & Speer M. (2020).  Attribution and Prediction of Precipitation and Temperature Trends within the Sydney Catchment Using Machine Learning. Climate. 8(10), 120.
Jahan, F., Duncan E. W., Cramb S., Baade P. D., & Mengersen KL. (2020).  Augmenting disease maps: a Bayesian meta-analysis approach. Royal Society Open Science. 7(8), 192151.
Mengersen, K. (2020).  Back to the Future: ranking and selection. 64th Annual Meeting of the Australian Mathematical Society AustMS .
Damjanovic, K., Blackall L. L., Menéndez P., & van Oppen M. J. H. (2020).  Bacterial and algal symbiont dynamics in early recruits exposed to two adult coral species. Coral Reefs. 39(1), 189 - 202.
Deelstra, G., Latouche G., & Simon M. (2020).  On barrier option pricing by Erlangization in a regime-switching model with jumps. Journal of Computational and Applied Mathematics. 371, 112606.
Senarathne, S. Gedara J., Overstall A. M., & McGree J. M. (2020).  Bayesian adaptive N‐of‐1 trials for estimating population and individual treatment effects. Statistics in Medicine. 39(29), 4499 - 4518.
Drovandi, C., & Warne D. J. (2020).  Bayesian analysis of the COVID-19 pandemic.
Lander, D., Gunawan D., Griffiths W., & Chotikapanich D. (2020).  Bayesian assessment of Lorenz and stochastic dominance. Canadian Journal of Economics. 53(2), 767-799.
Moores, M. T., Pettitt A. N., & Mengersen K. L. (2020).  Bayesian Computation with Intractable Likelihoods. (Mengersen, K. L., Pudlo P., & Robert C. P., Ed.).Lecture Notes in Mathematics: Case Studies in Applied Bayesian Data Science. 2259, 137 - 151.
Warne, D., Sisson S., & Drovandi C. (2020).  Bayesian computations using SIMD operations.
Tran, M-N., Nguyen N., Nott D., & Kohn R. (2020).  Bayesian Deep Net GLM and GLMM. Journal of Computational and Graphical Statistics. 29, 97-113.
Overstall, A., & McGree J. (2020).  Bayesian Design of Experiments for Intractable Likelihood Models Using Coupled Auxiliary Models and Multivariate Emulation. Bayesian Analysis. 15(1), 103-131.
Cespedes, M. I., McGree J. M., Drovandi C. C., Mengersen K. L., Reid L. B., Doecke J. D., et al. (2020).  A Bayesian Hierarchical Approach to Jointly Model Cortical Thickness and Covariance Networks. (Mengersen, K. L., Pudlo P., & Robert C. P., Ed.).Lecture Notes in Mathematics: Case Studies in Applied Bayesian Data Science. 2259, 155 - 213.
Hobbs, W., Wu P. Pao- Yen, Gorman A. D., Mooney M., & Freeston J. (2020).  Bayesian hierarchical modelling of basketball tracking data - a case study of spatial entropy and spatial effectiveness. Journal of Sports Sciences. 38(8), 886 - 896.
Gray, C., Mitchell L., & Roughan M. (2020).  Bayesian Inference of Network Structure From Information Cascades. IEEE Transactions on Signal and Information Processing over Networks. 6, 371 - 381.
Goodwin, T., Evenhuis C., Woodcock S., & Quiroz M. (2020).  Bayesian Inference on the Keller–Segel Model. 14th Engineering Mathematics and Applications Conference. 61, C181 - C196.
Sequeira, A. M. M., M. Caley J., Mellin C., & Mengersen K. L. (2020).  Bayesian Learning of Biodiversity Models Using Repeated Observations. (Mengersen, K. L., Pudlo P., & Robert C. P., Ed.).Lecture Notes in Mathematics: Case Studies in Applied Bayesian Data Science. 2259, 371 - 384.
Santos-Fernández, E., Mengersen KL., & Wu P. (2020).  Bayesian Methods in Sport Statistics. (Balakrishnan, N.., Colton T., Everitt B., Piegorsch W., Ruggeri F., & Teugels J. L., Ed.).Wiley StatsRef: Statistics Reference Online. 1 - 8.
Tierney, N. J., Clifford S., Drovandi C. C., & Mengersen K. L. (2020).  Bayesian Modelling to Assist Inference on Health Outcomes in Occupational Health Surveillance. (Mengersen, K. L., Pudlo P., & Robert C. P., Ed.).Lecture Notes in Mathematics: Case Studies in Applied Bayesian Data Science. 2259, 327 - 343.
Cramb, S., & K M. (2020).  Bayesian multivariate analysis of disease, with application to the Australian Cancer Atlas. 2020 Joint Statistical Meetings.
Davis, J., Good K., Hunter V., Johnson S., & Mengersen K. L. (2020).  Bayesian Networks for Understanding Human-Wildlife Conflict in Conservation. (Mengersen, K. L., Pudlo P., & Robert C. P., Ed.).Lecture Notes in Mathematics: Case Studies in Applied Bayesian Data Science. 2259, 347 - 370.
Mengersen, K. L., Pudlo P., Robert C. P., Goan E., & Fookes C. (2020).  Bayesian Neural Networks: An Introduction and Survey. 2259, 45 - 87.
Goan, E., & Fookes C. (2020).  Bayesian Neural Networks: An Introduction and Survey. ase Studies in Applied Bayesian Data Science: CIRM Jean-Morlet Chair, Fall 2018. 1, 45-87.
Li, C., Xie H-B., Mengersen KL., Fan X., Da Xu R. Yi, Sisson S., et al. (2020).  Bayesian Nonnegative Matrix Factorization With Dirichlet Process Mixtures. IEEE Transactions on Signal Processing. 68, 3860 - 3870.

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