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2021
Mehra, S., McCaw J. M., Flegg M. B., Taylor P. G., & Flegg J. A. (2021).  Antibody Dynamics for Plasmodium vivax Malaria: A Mathematical Model. Bulletin of Mathematical Biology. 83(1), 6.
Meier, A.., McGree J.., Klee R.., Preuß J.., Reiche D.., de Laat M.., et al. (2021).  The application of a new laminitis scoring method to model the rate and pattern of improvement from equine endocrinopathic laminitis in a clinical setting. BMC Veterinary Research. 17(1), 
Davoudabadi, M. Javad, Pagendam D., Drovandi C., Baldock J., & White G. (2021).  The application of advanced Bayesian approaches for modeling soil carbon sequestration. Australian and New Zealand Statistical Conference (ANZSC 2021).
Grazian, C., Valle L. Dalla, Liseo B., & McInner A. (2021).  Approximate Bayesian Conditional Copulas. Bayesian Inference in Stochastic Processes (BISP12).
Morota, G., Cheng H., Cook D., & Tanaka E. (2021).  ASAS-NANP SYMPOSIUM: prospects for interactive and dynamic graphics in the era of data-rich animal science1Abstract. Journal of Animal Science. 99(2), skaa402.
Li, H., & Hyndman R. J. (2021).  Assessing mortality inequality in the U.S.: What can be said about the future?. Insurance: Mathematics and Economics. 99, 152-162.
Whyte, J. M. (2021).  Assessing suitability of a linear switching system for modelling via Monte Carlo consideration of model properties. 15th Engineering Mathematics and Applications Conference.
Haque, S., Mengersen K., & Stern S. (2021).  Assessing the accuracy of record linkages with Markov chain based Monte Carlo simulation approach. Journal of Big Data. 8(1), 8.
Forrester, P. J., Li S-H., & Trinh A. K. (2021).  Asymptotic correlations with corrections for the circular Jacobi $beta$-ensemble. Journal of Approximation Theory. 271, 105633.
Talagala, P. Dilini, & Talagala T. (2021).  Attention Towards Distance Education Tools During COVID-19 Pandemic - Evidence from Google Trends. OWSD 6th General Assembly and International Conference.
Mengersen, K. (2021).  AusEnHealth: An Australian Environmental Health Digital Twin. 2nd Ecosystem Change and Population Health Symposium (ECAPH 2021).
Tsuchida, R., Pearce T., van der Heide C., Roosta F., & Gallagher M. (2021).  Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks. 35th AAAI Conference on Artificial Intelligence. 35, 9967-9977.
Matamoros, A. Alonzo, Torres C. Cruz, Dala A., Hyndman R. J., & O'Hara-Wild M. (2021).  bayesforecast: Bayesian Time Series Modeling with Stan.
Li, D., Clements A., & Drovandi C. (2021).  A Bayesian approach for more reliable tail risk forecasts. 4th International Conference on Econometrics and Statistics (EcoSta 2021).
Perera, T., McGree J., Egodawatta P., Jinadasa K.B.S.N.., & Goonetilleke A. (2021).  A Bayesian approach to model the trends and variability in urban stormwater quality associated with catchment and hydrologic parameters. Water Research. 197, 117076.
Tran, M-N. (2021).  Bayesian computation: why/when Variational Bayes, not MCMC or SMC?. Early Career & Student Statisticians Conference (ECSSC 2021).
Overstall, A., & McGree J. (2021).  Bayesian Decision-Theoretic Design of Experiments Under an Alternative Model. Bayesian Analysis. -1(-1), 
Cooper, M., McGree J., Molloy T. L., & Ford J. J. (2021).  Bayesian Experimental Design With Application to Dynamical Vehicle Models. IEEE Transactions on Robotics. 37(5), 1844 - 1851.
Gilholm, P., Mengersen K., & Thompson H. (2021).  Bayesian Hierarchical Multidimensional Item Response Modeling of Small Sample, Sparse Data for Personalized Developmental Surveillance. Educational and Psychological Measurement. 81(5), 936 - 956.
Baghfalaki, T., Sugier P‐E., Truong T., Pettitt A. N., Mengersen K., & Liquet B. (2021).  Bayesian meta‐analysis models for cross cancer genomic investigation of pleiotropic effects using group structure. Statistics in Medicine. 40(6), 1498-1518.
Mengersen, K. (2021).  Bayesian Modelling and Analysis of Challenging Data: Describing Systems of Data. P.C. Mahalanobis Memorial Lectures.
Mengersen, K. (2021).  Bayesian Modelling and Analysis of Challenging Data: Finding Patterns in Highly Structured Spatio-Temporal Data. P.C. Mahalanobis Memorial Lectures.
Mengersen, K. (2021).  Bayesian Modelling and Analysis of Challenging Data: Identifying the Intrinsic Dimension of High-Dimensional Data. P.C. Mahalanobis Memorial Lectures.
Mengersen, K. (2021).  Bayesian Modelling and Analysis of Challenging Data: Making New Sources of Data Trustworthy. P.C. Mahalanobis Memorial Lectures.
Mengersen, K. (2021).  Bayesian Modelling and Analysis of Challenging Data: Making New Sources of Data Trustworthy. 2021 Distinguished Lecture Series in Statistical Sciences, Canadian Statistical Sciences Institute (CANSSI).
Mengersen, K. (2021).  Bayesian Modelling of Complicated Systems. Basque Centre for Applied Mathematics - MTB Group - Invited Seminar .
Wu, P. Pao- Yen, Ruggeri F., & Mengersen K. (2021).  Bayesian Network Inference With Uncertain Evidence and Parameters. Bayesian Inference in Stochastic Processes (BISP12).
Thamrin, S. Astuti, Aswi, Ansariadi, Jaya A. Kresna, & Mengersen K. (2021).  Bayesian spatial survival modelling for dengue fever in Makassar, Indonesia. Gaceta Sanitaria. 35(S1), S59 - S63.
Forbes, O., Hosking R., Mokany K., & Lal A. (2021).  Bayesian spatio-temporal modelling to assess the role of extreme weather, land use change and socio-economic trends on cryptosporidiosis in Australia, 2001–2018. Science of The Total Environment. 791, 148243.
Browning, R., & Mengersen K. (2021).  A Bayesian trans-dimensional approach to model Hawkes processes in discrete time. 2021 World Meeting of the International Society for Bayesian Analysis.
Mengersen, K. (2021).  Better Beliefs: A Bayesian social platform for inclusive and evidence-based decision making. 2021 World Meeting of the International Society for Bayesian Analysis (ISBA 2021).
Verbesselt, J., Masiliunas D., Zeileis A., Hyndman R. J., Appel M., Jung M., et al. (2021).  bfast: Breaks for Additive Season and Trend.
Keith, J. M., & Markowsky G. (2021).  Binary sequences with a Cesàro limit. arXiv. arXiv:2107.01020v1.
Hautphenne, S., & Patch B. (2021).  Birdepy.
Hautphenne, S., & Patch B. (2021).  Birth-and-death Processes in Python: The BirDePy Package. arXiv. arXiv:2110.05067v1.
Whyte, J. M. (2021).  Branching out into Structural Identifiability Analysis with Maple: Interactive Exploration of Uncontrolled Linear Time-Invariant Structures. (R.M., C., J. G., & I.S. K., Ed.).Maple in Mathematics Education and Research: 4th Maple Conference, MC 2020, Waterloo, Ontario, Canada, November 2–6, 2020, Revised Selected Papers. 1,
Taylor, P., & Royston K. (2021).  A call centre server allocation problem. Data Driven Queueing Challenges (DDQC 2021).
Lui, C-W., Wang Z., Wang N., Milinovich G., Ding H., Mengersen K., et al. (2021).  A call for better understanding of social media in surveillance and management of noncommunicable diseases. Health Research Policy and Systems. 19(1), 18.
Mengersen, K. (2021).  Calling all Citizen Scientists: using Bayesian Statistics to advance public input into scientific analysis. Chalmers AI Talk.
Thilan, P., Menendez P., & McGree J. M. (2021).  Can adaptive design methods capture long-term trends in hard coral cover?.
Wang, J., Mendieta J. Benitez, Paritala P. Kumari, Xiang Y., Raffel O. Christophe, McGahan T., et al. (2021).  Case Report: Evaluating Biomechanical Risk Factors in Carotid Stenosis by Patient-Specific Fluid-Structural Interaction Biomechanical Analysis. Cerebrovascular Diseases. 50(3), 262 - 269.
Perera, T., McGree J., Egodawatta P., Jinadasa K.B.S.N.., & Goonetilleke A. (2021).  Catchment based estimation of pollutant event mean concentration (EMC) and implications for first flush assessment. Journal of Environmental Management. 279, 111737.
Sutton, M. (2021).  ccpdmp.
Cook, D. (2021).  Challenges for Visualisation in Data Science: High-dimensional spaces, and Statistical Inference. Shaping the Future of Data Science: Research Spotlight Series.
Forrester, P. J. (2021).  Circulant L-ensembles in the thermodynamic limit. Journal of Physics A: Mathematical and Theoretical. 54(44), 444003.
Vares, M. Eulália, Fernández R., Fontes L. Renato, Newman C. M., Collevecchio A., & Griffiths R. C. (2021).  A class of random walks on the hypercube. In and Out of Equilibrium 3: Celebrating Vladas Sidoravicius. 77, 265 - 298.
Forrester, P.. J., & Mazzuca G.. (2021).  The classical β -ensembles with β proportional to 1/ N : From loop equations to Dyson’s disordered chain. Journal of Mathematical Physics. 62(7), 073505.
Clisby, N., Conway A. R., Guttmann A. J., & Inoue Y. (2021).  Classical length-5 pattern-avoiding permutations. arXiv. arXiv:2109.13485.
Guttmann, A. J. (2021).  Classical pattern-avoiding permutations of length 5. Permutation Patterns 2021 Virtual Workshop.
Forrester, P. J., & Li S-H. (2021).  Classical skew orthogonal polynomials in a two-component log-gas with charges +1 and +2. Advances in Mathematics. 383, 107678.

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