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2021
Holloway‐Brown, J., Helmstedt K. J., & Mengersen K. L. (2021).  Interpolating missing land cover data using stochastic spatial random forests for improved change detection. Remote Sensing in Ecology and Conservation. 7(4), 649 - 665.
Baker, P., & Mortlock M. Y. (2021).  Introducing an R Package for Crop Science cropgrowdays: Calculating thermal time, stress days and user defined agro-meteorological variables. Australian and New Zealand Statistical Conference (ANZSC 2021).
Warne, D. (2021).  An introduction to pseudo-marginal methods for likelihood-free Bayesian inference. Invited Seminar, Wolfson Centre for Mathematical Biology.
Feng, L., Turner I., Perré P., & Burrage K. (2021).  An investigation of nonlinear time-fractional anomalous diffusion models for simulating transport processes in heterogeneous binary media. Communications in Nonlinear Science and Numerical Simulation. 92, 105454.
Li, C., Xie H-B., Fan X., Da Xu R. Yi, Van Huffel S., & Mengersen KL. (2021).  Kernelized Sparse Bayesian Matrix Factorization. IEEE Transactions on Neural Networks and Learning Systems. 32(1), 391 - 404.
Whyte, J. M. (2021).  Keyword trends for chemicals may lead regulatory response. Could this hint at tomorrow’s (unknown) poisons?. Early Career & Student Statisticians Conference (ECSSC 2021).
Fu, J., Zhang L., Huang K., & Liu Z. (2021).  A large-scale multi-rider matching problem with reneging passengers: single source case. 24th International Congress on Modelling and Simulation.
Talagala, T. (2021).  Large-Scale Time Series Forecasting. RLadies Meetup.
Guttmann, A., & Kotesovec V. (2021).  L-convex polyominoes and 201-avoiding ascent sequences. arXiv. arXiv:2109.09928v2.
Guttmann, A., & Kotesovec V. (2021).  L-convex polyominoes and 201-avoiding ascent sequences. arXiv. arXiv:2109.09928v1.
Warne, D. J., Ebert A., Drovandi C., Hu W., Mira A., & Mengersen K. (2021).  Learning from hindsight through stochastic modelling of the global response to the COVID-19 pandemic. 2021 Australian and New Zealand Statistical Conference (ANZSC2021).
Wang, K., Yacobellis P., Siregar E., Romanes S., Fitter K., Valentino G., et al. (2021).  learningtower: OECD PISA Datasets from 2000-2018 in an Easy-to-Use Format.
Mengersen, K. (2021).  Let's talk about uncertainty. 2021 IEEE International Conference on Data Mining (ICDM 2021).
Ebert, A., Dutta R., Mengersen K., Mira A., Ruggeri F., & Wu P. (2021).  Likelihood‐free parameter estimation for dynamic queueing networks: Case study of passenger flow in an international airport terminal. Journal of the Royal Statistical Society: Series C (Applied Statistics). 70(3), 770 - 792.
Lee, S. (2021).  liminal: Multivariate Data Visualization with Tours and Embeddings.
de Gier, J., Kenyon R., & Watson S. S. (2021).  Limit Shapes for the Asymmetric Five Vertex Model. Communications in Mathematical Physics. 385, 793–836.
Chen, Z., de Gier J., Hiki I., Sasamoto T., & Usui M. (2021).  Limiting current distribution for a two species asymmetric exclusion process. arXiv. arXiv:2104.00026v1.
Burrage, K., Burrage P., & MacNamara S. (2021).  Localisation and pseudospectra of twisted Toeplitz matrices with applications to ion channels. SIAM Matrix Analysis and Applications. 42(4), 1656–1679.
Fang, S., Deng Y., & Zhou Z. (2021).  Logarithmic finite-size scaling of the self-avoiding walk at four dimensions. Physical Review E. 104(6), 064108.
Whitaker, T.., Béranger B.., & Sisson S.. A. (2021).  Logistic Regression Models for Aggregated Data. Journal of Computational and Graphical Statistics. 30(4), 1049-1067.
Rajapaksha, D., Bergmeir C., & Hyndman R. J. (2021).  LoMEF: A Framework to Produce Local Explanations for Global Model Time Series Forecasts. arXiv. arXiv:2111.07001v1.
Collevecchio, A., Hamza K., & Nguyen T-M. (2021).  Long range one-cookie random walk with positive speed. Stochastic Processes and their Applications. 142, 462-478.
Liu, C-J., Wu J., Jayetileke H. Lakshika, & Hu Z-H. (2021).  Long-Range Dependence and Multifractality of Ship Flow Sequences in Container Ports: A Comparison of Shanghai, Singapore, and Rotterdam. Applied Sciences. 11(21), 10378.
Kandanaarachchi, S. (2021).  Looking out for anomalies. QUT Mathematics Seminar.
Kandanaarachchi, S., & Hyndman R. J. (2021).  lookout: Leave One Out Kernel Density Estimates for Outlier Detection.
Kandanaarachchi, S. (2021).  Lookout! Persisting anomalies ahead.. 2021 Australian and New Zealand Statistical Conference (ANZSC2021).
Frazier, D. (2021).  Loss-Based Variational Bayes Prediction. 2021 World Meeting of the International Society for Bayesian Analysis (ISBA 2021).
Martin, G. M. (2021).  Loss-Based Variational Bayes Prediction. European Seminar on Bayesian Econometrics.
Frazier, D. T., Loaiza-Maya R., Martin G. M., & Koo B. (2021).  Loss-Based Variational Bayes Prediction. arXiv. arXiv:2104.14054v1.
Martin, G. M. (2021).  Loss-Based Variational Bayes Prediction. 41st International Symposium on Forecasting.
Halfar, R., Lawson B. A. J., Santos R. Weber dos, & Burrage K. (2021).  Machine Learning Identification of Pro-arrhythmic Structures in Cardiac Fibrosis. Frontiers in Physiology. 12, 709485.
Baxendale, M., McGree J. M., Bellette A., & Corry P. (2021).  Machine-based production scheduling for rotomoulded plastics manufacturing. International Journal of Production Research. 59(5), 1301-1318.
Tierney, N., Cook D., & Prvan T. (2021).  Making better spaghetti (plots). ACEMS Students and ECR Retreat.
Cook, D. (2021).  Making plots to explore data using R. NYC R Ladies Meetup.
Cheng, F., Hyndman R. J., & Panagiotelis A. (2021).  Manifold learning with approximate nearest neighbours.
Cheng, F., Hyndman R. J., & Panagiotelis A. (2021).  Manifold Learning with Approximate Nearest Neighbours. Australian Statistical Society and New Zealand Statistical Association Conference 2021.
Cheng, F., Hyndman R. J., & Panagiotelis A. (2021).  Manifold Learning with Approximate Nearest Neighbours. Early Career & Student Statisticians Conference 2021.
Cheng, F., Hyndman R. J., & Panagiotelis A. (2021).  Manifold Learning with Approximate Nearest Neighbours. AMSI Winter School 2021.
Whyte, J. M. (2021).  Maple 2020 procedures and a dashboard for interactive testing of uncontrolled linear-time-invariant structures for structural global identifiability.
Nguyen, T., Liquet B., Mengersen K., & Sous D. (2021).  Mapping of Coral Reefs with Multispectral Satellites: A Review of Recent Papers. Remote Sensing. 13(21), 4470.
Cai, Y., Pan J., & Li Z. (2021).  Mathematical modeling of intraplaque neovascularization and hemorrhage in a carotid atherosclerotic plaque. BioMedical Engineering OnLine. 20(1), 
Cai, Y., & Li Z. (2021).  Mathematical modeling of plaque progression and associated microenvironment: How far from predicting the fate of atherosclerosis?. Computer Methods and Programs in Biomedicine. 211, 106435.
Ranathunga, D., Roughan M., & Nguyen H. (2021).  Mathematical Reconciliation of Medical Privacy Policies. ACM Transactions on Management Information Systems. 12(1), 5.
Kandanaarachchi, S. (2021).  Mathematics of anomalies. Australian Statistical Society and New Zealand Statistical Association Conference.
Bon, J. J. (2021).  MCParticles.jl.
Velic, A., Hasan J., Li Z., & Yarlagadda P. K. D. V. (2021).  Mechanics of Bacterial Interaction and Death on Nanopatterned Surfaces. Biophysical Journal. 120(2), 217 - 231.
Lakshika, J. P. G., & Talagala T. (2021).  MedLEA: Morphological and Structural Features of Medicinal Leaves.
Priyasad, D., Fernando T., Denman S., Sridharan S., & Fookes C. (2021).  Memory based fusion for multi-modal deep learning. Information Fusion. 67, 136 - 146.
Purnomo, G. A., Mitchell K. J., O'Connor S., Kealy S., Taufik L., Schiller S., et al. (2021).  Mitogenomes Reveal Two Major Influxes of Papuan Ancestry across Wallacea Following the Last Glacial Maximum and Austronesian Contact. Genes. 12(7), 965.
Degani, E., Maestrini L., & Bernardi M. (2021).  Model fitting and Bayesian inference via power expectation propagation. 2021 Conference of the Italian Statistical Society (SIS 2021).

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