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2021
Edwards, S. J., Baatar D., Smith-Miles K., & Ernst A. T. (2021).  Symmetry breaking of identical projects in the high-multiplicity RCPSP/max. Journal of the Operational Research Society. 72(8), 1822-1843.
Quella, T. (2021).  Symmetry-protected topological phases beyond groups: The q-deformed bilinear-biquadratic spin chain. Physical Review B. 103(5), 054404.
Frazier, D. T., Drovandi C., & Nott D. J. (2021).  Synthetic Likelihood in Misspecified Models: Consequences and Corrections. arXiv. arXiv:2104.03436v1.
[Anonymous] (2021).  Tackling biological and model complexity through a sequence of experiments. Society for Mathematical Biology Annual Conference.
Tierney, N., Cook D., & Prvan T. (2021).  Tangling is easy but untangling is hard. Some advice on exploratory data analysis for longitudinal data. 2021 Joint Statistical Meetings.
Stringer, A., & Mengersen K. (2021).  Teaching Tool for Year 12 Mathematical Methods.
Stringer, A., & Mengersen K. (2021).  Teaching Tool for Year 12 Specialist Mathematics.
Talagala, P. Dilini (2021).  Technical Anomalies in Water-Quality Data From In-Situ Sensors - What, Why, and How?. ARCLP Workshop.
Zhang, S., Wu J., Jia Y., Wang Y-G., Zhang Y., & Duan Q. (2021).  A temporal LASSO regression model for the emergency forecasting of the suspended sediment concentrations in coastal oceans: Accuracy and interpretability. Engineering Applications of Artificial Intelligence. 100, 104206.
Kocher, A., Papac L., Barquera R., Key F. M., Spyrou M. A., Hübler R., et al. (2021).  Ten millennia of hepatitis B virus evolution. Science. 374(6564), 182 - 188.
Qi, X., Bertling K., Taimre T., Lim Y. Leng, Gillespie T., Dean P., et al. (2021).  Terahertz imaging with self-pulsations in quantum cascade lasers under optical feedback. APL Photonics. 6(9), 091301.
Qi, X., Bertling K., Taimre T., Agnew G., Lim Y. Leng, Gillespie T., et al. (2021).  Terahertz quantum cascade laser under optical feedback: effects of laser self-pulsations on self-mixing signals. Optics Express. 29(24), 39885.
Keith, J. M., & Markowsky G. (2021).  A theory of integration for Cesàro limits. arXiv. arXiv:2104.08705v2.
Cook, D., Blackler A., McGree J., Hauxwell C., & Tarpy D. (2021).  Thermal Impacts of Apicultural Practice and Products on the Honey Bee ColonyAbstract. Journal of Economic Entomology. 114(2), 538 - 546.
Fitzgerald, S. P., Bean N. G., Hennessey J. V., & Falhammar H. (2021).  Thyroid testing paradigm switch from thyrotropin to thyroid hormones—Future directions and opportunities in clinical medicine and researchAbstractPurposeConclusions. Endocrine. 74(2), 285 - 289.
Talagala, P. Dilini (2021).  Tidy Time Series Anomaly Detection for Load Forecasting. 41st International Symposium on Forecasting.
Bon, J. J. (2021).  tidytreatment 0.2.0.
Cramb, S. M. (2021).  TIPS (Ten Incorrect Pithy Statements) for Disease Mapping. Spatial and Temporal Statistics Symposium.
Gammulle, H., Denman S., Sridharan S., Fookes C., & Gammulle H. (2021).  TMMF: Temporal Multi-Modal Fusion for Single-Stage Continuous Gesture Recognition. IEEE Transactions on Image Processing. 30, 7689 - 7701.
Mays, A., Ponsaing A., & Schehr G. (2021).  Tracy-Widom Distributions for the Gaussian Orthogonal and Symplectic Ensembles Revisited: A Skew-Orthogonal Polynomials Approach. Journal of Statistical Physics. 182(2), 28.
Mengersen, K. (2021).  Trajectory 2032 – Is the time right for a National Sport Data Analytics Hub?. AIS Sports Technology and Applied Research Symposium (STARS 2021).
de Gier, J. (2021).  Transition probabilities and expectation values for multi-species exclusion processes. 65th Annual Meeting of the Australian Mathematical Society.
de Gier, J. (2021).  Transition Probabilities and Expectation Values for Multi-Species Exclusion Processes. Invited Seminar, MSRI.
de Gier, J., Mead W., & Wheeler M. (2021).  Transition probability and total crossing events in the multi-species asymmetric exclusion process. arXiv. arXiv:2109.14232v1.
Wang, E., Cook D., Hyndman R. J., O'Hara-Wild M., Smith T., & Davis W. (2021).  tsibble: Tidy Temporal Data Frames and Tools (Version 1.0.1).
O'Hara-Wild, M., Hyndman R. J., Wang E., Godahewa R., & Bergmeir C. (2021).  tsibbledata: Diverse Datasets for ’tsibble’ (Version 0.3.0).
Meyer, F., Lesker T-R., Koslicki D., Fritz A., Gurevich A., Darling A. E., et al. (2021).  Tutorial: assessing metagenomics software with the CAMI benchmarking toolkit. Nature Protocols. 16(4), 1785 - 1801.
Hyndman, R. J. (2021).  Uncertain Futures. Australian Academy of Science.
Cook, D. (2021).  Uncertainty in data visualisation through the lens of statistical inference. Rostock Retreat.
Kermorvant, C., Liquet B., Litt G., Mengersen K., Peterson E., Hyndman R. J., et al. (2021).  Understanding links between water-quality variables and nitrate concentration in freshwater streams using high-frequency sensor data. arXiv. arXiv:2106.01719v1.
Neidlin, M., Liao S., Li Z., Simpson B., Kaye D. M., Steinseifer U., et al. (2021).  Understanding the influence of left ventricular assist device inflow cannula alignment and the risk of intraventricular thrombosisAbstractBackgroundResultsConclusions. BioMedical Engineering OnLine. 20(1), 
Santos‐Fernandez, E., & Mengersen K. (2021).  Understanding the reliability of citizen science observational data using item response models. Methods in Ecology and Evolution. 12(8), 1533-1548.
Chen, W., Koo B., Wang Y., O’Hare C., Langrené N., Toscas P., et al. (2021).  Using a stochastic economic scenario generator to analyse uncertain superannuation and retirement outcomes. Annals of Actuarial Science. 15(3), 549 - 566.
Zhang, Y., Bambrick H., Mengersen K., Tong S., & Hu W. (2021).  Using internet-based query and climate data to predict climate-sensitive infectious disease risks: a systematic review of epidemiological evidence. International Journal of Biometeorology. 65(12), 2203 - 2214.
Warne, D. J., Baker R. E., & Simpson M. J. (2021).  Using model approximations to accelerate Bayesian computation. Early Career & Student Statisticians Conference (ECSSC 2021).
Rohrlach, A. B., Papac L., Childebayeva A., Rivollat M., Villalba-Mouco V., Neumann G. U., et al. (2021).  Using Y-chromosome capture enrichment to resolve haplogroup H2 shows new evidence for a two-path Neolithic expansion to Western Europe. Scientific Reports. 11(1), 15005.
Maestrini, L., Livieri G., & Bernardi M. (2021).  Variable Selection for Heteroskedastic Regression Models via Variational Approximations. 2021 World Meeting of the International Society for Bayesian Analysis (ISBA 2021).
Dang, K-D., & Maestrini L. (2021).  Variational approximations for structural equation models. Early Career & Student Statisticians Conference (ECSSC 2021).
Gunawan, D., Kohn R., & Nott D. (2021).  Variational Bayes approximation of factor stochastic volatility models. International Journal of Forecasting. 37(4), 1355 - 1375.
Tanaka, E. (2021).  Visual Inference. 17th Fukuoka R Meeting.
Tanaka, E. (2021).  Visualising experimental designs with the edibble and deggust R-packages. Applications of Statistical Procedures in Biological Data.
O'Hara-Wild, M., Hyndman R. J., Xie Y., Krewinkel A., & Seo JY. (2021).  vitae: Curriculum Vitae for R Markdown (Version 0.4.2).
Grazian, C., Emvalomenos G., Fan Y., & Meikle S. R. (2021).  vPET-ABC: Voxel-wise approximate Bayesian inference for parametric imaging of neurotransmitter release. 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference.
Stringer, A., Vercelloni J., & Mengersen K. (2021).  VRD High School Biology Practical - Web Application.
Frazier, D. T., Renault E., Zhang L., & Zhao X. (2021).  Weak Identification in Discrete Choice Models. arXiv. arXiv:2011.06753v2,
Lo, T. Y. Y. (2021).  Weak local limit of preferential attachment random trees with additive fitness. arXiv. arXiv:2103.00900v2.
Lo, T. Y. Y. (2021).  Weak local limit of preferential attachment random trees with additive fitness. arXiv. arXiv:2103.00900v1.
Amiet, B., Collevecchio A., & Hamza K. (2021).  When “Better” is better than “Best”. Operations Research Letters. 49(2), 260 - 264.
Dawkins, L. C., Williamson D. B., Mengersen K. L., Morawska L., Jayaratne R., & Shaddick G. (2021).  Where Is the Clean Air? A Bayesian Decision Framework for Personalised Cyclist Route Selection Using R-INLA. Bayesian Analysis. 16(1), 61-91.
Bean, N. G., O’Reilly M. M., & Palmowski Z. (2021).  Yaglom limit for stochastic fluid models. Advances in Applied Probability. 53(3), 649 - 686.

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