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2020
Martin, G. M., Loaiza-Maya R., Frazier D. T., Maneesoonthorn W., & Hassan A. Ramírez (2020).  Optimal probabilistic forecasts: When do they work?. arXiv. arXiv:2009.09592v1.
Martin, G. M., Loaiza-Maya R., Frazier D. T., Maneesoonthorn W., & Hassan A. Ramirez (2020).  Optimal probabilistic forecasts: When do they work?. arXiv. arXiv:2009.09592v1,
Bardsley, J., & Cui T. (2020).  Optimization-Based MCMC Methods for Nonlinear Hierarchical Statistical Inverse Problems. arXiv. arXiv:2002.06358v1,
Tuke, J., Nguyen A., Nasim M., Mellor D., Wickramasinghe A., Bean N. G., et al. (2020).  Pachinko Prediction: A Bayesian method for event prediction from social media data. Information Processing & Management. 57(2), 102147.
Holmes, M.., & Taylor P.. G. (2020).  A paradox for expected hitting times. Stochastic Models. 36(3), 365 - 377.
Cook, D., Tierney N., & Prvan T. (2020).  The paradox of the positive: exploratory tools for visualising the individuals in (multivariate) longitudinal data. International Biometric Conference 2020.
Flegg, M. B., Muñoz M. A., Smith-Miles K., Yuen W. Shan, Flegg J. A., & Carroll J. G. (2020).  Parameter estimation for a point-source diffusion-decay morphogen model. Journal of Mathematical Biology. 80(7), 2227 - 2255.
Browning, A. P., Warne D., Burrage K., Baker R. E., & Simpson M. J. (2020).  Parameter identifiability for mechanistic models in biology. ACEMS 2020 Virtual Retreat.
Browning, A. P., Haridas P., & Simpson M. J. (2020).  Parameterising mathematical models of melanoma invasion through a sequence of experiments. Brisbane Cancer Conference.
Forrester, P., & Zhang J. (2020).  Parametrising correlation matrices. Journal of Multivariate Analysis. 178,
Saviniec, L., Santos M. O., Costa A. M., & Santos L. M. R. dos (2020).  Pattern-based models and a cooperative parallel metaheuristic for high school timetabling problems. European Journal of Operational Research. 280(3), 1064 - 1081.
Broc, C., Calvo B., & Liquet B. (2020).  Penalized Partial Least Square applied to structured data. Arabian Journal of Mathematics. 9, 329-344.
Jiménez, J., Muñoz A., Cruz L., Muñoz M., Herrera E., & Ramos D. (2020).  Pensamiento Computacional para la formación de maestros: Una revisión sistemática de literatura. The 18th LACCEI International Multi-Conference for Engineering, Education, and Technology.
Fang, S., Zhou Z., & Deng Y. (2020).  Percolation effects in the Fortuin-Kasteleyn Ising model on the complete graph. arXiv. arXiv:2008.07256v1,
Moka, S. Babu, & Kroese D. (2020).  Perfect Sampling for Gibbs Point Processes using Partial Rejection Sampling. Bernoulli. 26(3), 2082-2104.
Crotty, S. M. (2020).  Phylogenomic signal mapping. Phylomania 2020.
Zhang, X., Zhou Y., Adams M. P., Wang F., Xu S., Wang P., et al. (2020).  Plant morphology and seed germination responses of seagrass (Zostera japonica) to water depth and light availability in Ailian Bay, northern China. Marine Environmental Research. 162, 105082.
Warne, D., & Ortiz J-C. (2020).  Power analysis for recovery delay detection.
Wu, P. (2020).  Practical Data Science – Data, models, and tall tales. Sports Technology and Applied Research Symposium.
Adams, M. P., Koh E. J. Y., Vilas M. P., Collier C. J., Lambert V. M., Sisson S. A., et al. (2020).  Predicting seagrass decline due to cumulative stressors. Environmental Modelling & Software. 130, 104717.
Abbasi, B., Babaei T., Hosseinifard Z., Smith-Miles K., & Dehghani M. (2020).  Predicting solutions of large-scale optimization problems via machine learning: A case study in blood supply chain management. Computers & Operations Research. 119, 104941.
Psaltis, S. T. P., Turner I., Farrell T., Carr E. J., Bailleres H., Kumar C., et al. (2020).  Prediction of sawn timber MOE from increment cores. The 20th Biennial Computational Techniques and Applications Conference (CTAC2020).
Mengersen, K. (2020).  Presenter, AMSI BioInfoSummer Online Conference 2020. AMSI BioInfoSummer Online Conference 2020.
Mengersen, K. (2020).  Presenter, Indian Institute of Technology Madras, QUT/IIT-M Virtual Workshop. Indian Institute of Technology Madras, QUT/IIT-M Virtual Workshop.
Braunsteins, P., & Hautphenne S. (2020).  The probabilities of extinction in a branching random walk on a strip. Journal of Applied Probability. 57(3), 811 - 831.
Meehan, M. T., Cope R. C., & McBryde E. S. (2020).  On the probability of strain invasion in endemic settings: accounting for individual heterogeneity and control in multi-strain dynamics. Journal of Theoretical Biology. 487, 110109.
Ding, Z., Tian Y-C., Tang M., Li Y., Wang Y-G., & Zhou C. (2020).  Profile-guided three-phase virtual resource management for energy efficiency of data centers. IEEE Transactions on Industrial Electronics. 67(3), 8663624, 2460-2468.
Adams, M. P., Sisson S., O'Brien K. R., Helmstedt K. J., Baker C. M., Koh E. J. Y., et al. (2020).  Propagating uncertainty through to model forecasts: deterministic Lotka-Volterra systems as a case study. Quantitative Ecology Virtual Meeting 2020.
Alkhairy, I., Low-Choy S., Murray J., Wang J., & Pettitt A. (2020).  Quantifying conditional probability tables in Bayesian networks: Bayesian regression for scenario-based encoding of elicited expert assessments on feral pig habitat. Journal of Applied Statistics. 47(10), 1848-1884.
Fox, C., Cui T., & Neumayer M. (2020).  Randomized reduced forward models for efficient Metropolis–Hastings MCMC, with application to subsurface fluid flow and capacitance tomography. GEM - International Journal on Geomathematics. 11, 26.
Zhou, Z., Grimm J., Deng Y., & Garoni T. (2020).  Random-length Random Walks and Finite-size Scaling on high-dimensional hypercubic lattices I: Periodic Boundary Conditions. arXiv. arXiv:2008.00913v1,
Hirsch, C., Moka S. Babu, Taimre T., & Kroese D. P. (2020).  Rare Events in Random Geometric Graphs. arXiv. arXiv:2007.05965v1,
Moka, S. Babu, Hirsch C., Kroese D. P., Taimre T., & Schmidt V. (2020).  Rare-Event Simulation for Random Geometric Graphs. 64th Annual Meeting of the Australian Mathematical Society.
Moka, S. Babu, Kroese D. P., Hirsch C., Schmidt V., & Taimre T. (2020).  Rare-Event Simulation for Random Geometric Graphs. ACEMS 2020 Virtual Retreet.
Tierney, N J., & Ram K. (2020).  A Realistic Guide to Making Data Available Alongside Code to Improve Reproducibility. arXiv. arXiv:2002.11626v1,
Loaiza-Maya, R., & Smith M. Stanley (2020).  Real-Time Macroeconomic Forecasting With a Heteroscedastic Inversion Copula. Journal of Business & Economic Statistics. 38, 470-486.
Zhang, L., Yuan Z., Yang L., & Liu Z. (2020).  Recent developments in traffic flow modelling using macroscopic fundamental diagram. Transport Reviews. 40(6), 689 - 710.
Burrage, K., Burrage P., & MacNamara S. (2020).  The reflectionless properties of Toeplitz waves and Hankel waves: an analysis via Bessel functions. arXiv. arXiv:2005.04561 .
Costa, A. Goncalves, Nielsen T., Dal Grande E., Tuke J., & Hazel S. (2020).  Regulatory Compliance in Online Dog Advertisements in Australia. Animals. 10(3), 425.
Cespedes, M. I., McGree J. M., Drovandi C. C., Mengersen KL., Fripp J., & Doecke J. D. (2020).  Relative rate of change in cognitive score network dynamics via Bayesian hierarchical models reveal spatial patterns of neurodegeneration. Statistics in Medicine. 39(21), 2695 - 2713.
Hodgkinson, L., Salomone R., & Roosta F. (2020).  The reproducing Stein kernel approach for post-hoc corrected sampling. arXiv. arXiv:2001:09266v1,
Jin, G., Xu J., Mo Y., Tang H., Wei T., Wang Y-G., et al. (2020).  Response of sediments and phosphorus to catchment characteristics and human activities under different rainfall patterns with Bayesian Networks. Journal of Hydrology. 584, 124695.
Callan, T., Debattista J., Berry B., Brown J., Woodcock S., Hocking J. S., et al. (2020).  A retrospective cohort study examining STI testing and perinatal records demonstrates reproductive health burden of chlamydia and gonorrhea. Pathogens and Disease. 78(6), ftaa052.
Camp, E. F., Kahlke T., Nitschke M. R., Varkey D., Fisher N. L., Fujise L., et al. (2020).  Revealing changes in the microbiome of Symbiodiniaceae under thermal stress. Environmental Microbiology. 22(4), 1294 - 1309.
Lock, O., Bednarz T., Leao S. Z., & Pettit C. (2020).  A review and reframing of participatory urban dashboards. City, Culture and Society. 20, 100294.
Grazian, C., & Fan Y. (2020).  A review of Approximate Bayesian Computation methods via density estimation: inference for simulator-models. Wiley Interdisciplinary Reviews: Computational Statistics. 12(4), e1486.
Snoswell, A. J., Singh S. P. N., & Ye N. (2020).  Revisiting Maximum Entropy Inverse Reinforcement Learning: New Perspectives and Algorithms. 2020 IEEE Symposium Series on Computational Intelligence (SSCI)2020 IEEE Symposium Series on Computational Intelligence (SSCI). 241 - 249.
Leigh, C., Stewart-Koster B., Van Sang N., Van Truc L., Hiep L. Huu, Xoan V. Bich, et al. (2020).  Rice-shrimp ecosystems in the Mekong Delta: Linking water quality, shrimp and their natural food sources. Science of The Total Environment. 739, 139931.
Frazier, D. T., Drovandi C. C., & Loaiza-Maya R. (2020).  Robust Approximate Bayesian Computation: An Adjustment Approach. arXiv. arXiv:2008.04099v1,
An, Z., Nott D. J., & Drovandi C. (2020).  Robust Bayesian synthetic likelihood via a semi-parametric approach. Statistics and Computing. 30, 543-557.

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