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2022
Talagala, T. S., Li F., & Kang Y. (2022).  FFORMPP: Feature-based forecast model performance prediction. International Journal of Forecasting. 38(3), 920-943.
Vaisman, R. (2022).  Finding minimum label spanning trees using cross‐entropy method. Networks. 79(2), 220-235.
Rostami-Tabar, B., Ali M. M., Hong T., Hyndman R. J., Porter M. D., & Syntetos A. (2022).  Forecasting for social good. International Journal of Forecasting. 38(3), 1245-1257.
Boyle, L. M., Marshall A. H., & Mackay M. (2022).  A framework for developing generalisable discrete event simulation models of hospital emergency departments.. European Journal of Operational Research. 302(1), 337-347.
Dissanayake, T., Fernando T., Denman S., Sridharan S., & Fookes C. (2022).  Geometric Deep Learning for Subject-Independent Epileptic Seizure Prediction using Scalp EEG Signals. IEEE Journal of Biomedical and Health Informatics. 26(2), 527-538.
Akkaya‐Hocagil, T., Ryan L. M., Cook R. J., Jacobson S. W., Richardson G. A., Day N. L., et al. (2022).  A hierarchical meta-analysis for settings involving multiple outcomes across multiple cohorts. Stat. 11(1), e462.
Yang, Y., Tao Z., Qian C., Gao Y., Zhou H., Ding Z., et al. (2022).  A hybrid robust system considering outliers for electric load series forecasting. Applied Intelligence. 52, 1630-1652.
Warne, D. J., Crossman K. A., Jin W., Mengersen K., Osborne K., Simpson M. J., et al. (2022).  Identification of two-phase recovery for interpretation of coral reef monitoring data. Journal of Applied Ecology. 59(1), 153-164.
Kandanaarachchi, S., & Hyndman R. J. (2022).  Leave-one-out kernel density estimates for outlier detection. Journal of Computational and Graphical Statistics. 31(2), 586-599.
Rahman, P., Beranger B., Sisson S., & Roughan M. (2022).  Likelihood-Based Inference for Modelling Packet Transit From Thinned Flow Summariessupp1-3188457.pdf. IEEE Transactions on Signal and Information Processing over Networks. 8, 571 - 583.
Borg, D. N., Nguyen R., & Tierney N. J. (2022).  Missing data: current practice in football research and recommendations for improvement. Science and Medicine in Football. 6(2), 262-267.
Miao, M., Wu J., Cai F., & Wang Y-G. (2022).  A Modified Memetic Algorithm with an Application to Gene Selection in a Sheep Body Weight Study. Animals. 12(2), 201.
Koo, B., Pantelous A. A., & Wang Y. (2022).  Novel utility-based life cycle models to optimise income in retirement. European Journal of Operational Research. 299(1), 346-361.
Duan, Q., Wu J., & Wang Y-G. (2022).  Optimal battery capacity in electrical load scheduling. Journal of Energy Storage. 50, 104190.
Loertscher, S., Muir E. V., & Taylor P. G. (2022).  Optimal market thickness. Journal of Economic Theory. 200, 105383.
Martin, G. M., Loaiza-Maya R., Maneesoonthorn W., Frazier D. T., & Ramírez-Hassan A. (2022).  Optimal probabilistic forecasts: When do they work?. International Journal of Forecasting. 38(1), 384-406.
Braunsteins, P., Hautphenne S., & Minuesa C. (2022).  Parameter estimation in branching processes with almost sure extinction. Bernoulli. 28(1), 33-63.
Minett, G. M., Fels-Camilleri V., Bon J. J., Impellizzeri F. M., & Borg D. N. (2022).  Peer presence increases session ratings of perceived exertion. International Journal of Sports Physiology and Performance. 17(1), 106-110.
Hu, S., Wang Y-G., & Fu L. (2022).  Performance of variance estimators in the analysis of longitudinal data with a large cluster size. Journal of Statistical Computation and Simulation. 92(1), 1 - 18.
L. F. South, Riabiz M.., Teymur O.., & Oates C. J. (2022).  Postprocessing of MCMC. Annual Review of Statistics and Its Application. 9,
Warne, D. J., Baker R. E., & Simpson M. J. (2022).  Rapid Bayesian inference for expensive stochastic models. Journal of Computational and Graphical Statistics. 31(2), 512-528.
Hirsch, C.., Moka S.B.., Taimre T., & Kroese D.P.. (2022).  Rare Events in Random Geometric Graphs. Methodology and Computing in Applied Probability. 24, 1367–1383.
Forrester, P. J., & Li S-H. (2022).  Rate of convergence at the hard edge for various Pólya ensembles of positive definite matrices. Integral Transforms and Special Functions. 33(6), 466-484.
Fu, J., Moran B., & Taylor P. G. (2022).  A Restless Bandit Model for Resource Allocation, Competition, and Reservation. Operations Research. 70(1), 416 - 431.
Boyle, L., & Mackay M. (2022).  A Reusable Discrete Event Simulation Model for Improving Orthopedic Waiting Lists. 2022 Winter Simulation Conference (WSC)2022 Winter Simulation Conference (WSC). 973 - 984.
Ha, G-F., Zhang Q., Bai Z., & Wang Y-G. (2022).  Ridgelized Hotelling’s T 2 test on mean vectors of large dimension. Random Matrices: Theory and Applications. 11(1), 2250011.
Yang, Y., Zhou H., Gao Y., Wu J., Wang Y-G., & Fu L. (2022).  Robust penalized extreme learning machine regression with applications in wind speed forecasting. Neural Computing and Applications. 34, 391–407.
Yang, Y., Zhou H., Wu J., Ding Z., & Wang Y-G. (2022).  Robustified extreme learning machine regression with applications in outlier-blended wind-speed forecasting. Applied Soft Computing. 122, 108814.
Zhang, H., Liu F., Jiang X., & Turner I. (2022).  Spectral method for the two-dimensional time distributed-order diffusion-wave equation on a semi-infinite domain. Journal of Computational and Applied Mathematics. 399, 113712.
Ryan, L. M., Clark S., Pagendam D., & Hyndman R. J. (2022).  Statistical and machine learning strategies for multi-bore forecasting for the Namoi Valley.
Dokumentov, A., & Hyndman R. J. (2022).  STR: Seasonal-Trend decomposition using Regression. INFORMS Journal on Data Science. 1(1), 50-62.
Jiang, J., Wand M. P., & Bhaskaran A. (2022).  Usable and precise asymptotics for generalized linear mixed model analysis and design. Journal of the Royal Statistical Society, Series B. 84(1), 55-82.
Warne, D. J., Sisson S. A., & Drovandi C. (2022).  Vector Operations for Accelerating Expensive Bayesian Computations – A Tutorial Guide. Bayesian Analysis. 17(2), 593-622.
Hamza, A., Ranathunga D., Gharakheili H. Habibi, Benson T. A., Roughan M., & Sivaraman V. (2022).  Verifying and Monitoring IoTs Network Behavior using MUD Profiles. IEEE Transactions on Dependable and Secure Computing. 19(1), 1 - 18.
2021
[Anonymous] (2021).  2019-20 MATRIX Annals. (Wood, D. R., de Gier J., Praeger C. E., & Tao T., Ed.).MATRIX Book Series. XLIV, 803.
Bon, J. J., Lee A., & Drovandi C. (2021).  Accelerating sequential Monte Carlo with surrogate likelihoods. 2021 World Meeting of the International Society for Bayesian Analysis (ISBA 2021).
Bon, J. J., Lee A., & Drovandi C. (2021).  Accelerating sequential Monte Carlo with surrogate likelihoods. Statistics and Computing. 31(5), 62.
Bon, J. J., Lee A., & Drovandi C. (2021).  Accelerating sequential Monte Carlo with surrogate likelihoods. 2021 Australian and New Zealand Statistical Conference (ANZSC2021).
Kumar, C., Psaltis S. T. P., Bailleres H., Turner I., Brancheriau L., Hopewell G., et al. (2021).  Accurate estimation of log MOE from non-destructive standing tree measurements. Annals of Forest Science. 78(1), 8.
Warne, D. J. (2021).  ACEMS/AIMS Great Barrier Reef (GBR) Recovery Project – Final Report.
Liyanaarachchige, P. Thilan Abe, Fisher R., Thompson H., Menendez P., Gilmour J., & McGree J. (2021).  Adaptive monitoring of coral health at Scott Reef where data exhibit nonlinear and disturbed trends over time. Authorea.
Hyndman, R. J. (2021).  addb: Australian Demographic Data Bank (Version 3.225).
Davoudabadi, M. Javad, Pagendam D., Drovandi C., Baldock J., & White G. (2021).  Advanced Bayesian approaches for state-space models with a case study on soil carbon sequestration. Environmental Modelling & Software. 136, 104919.
Zhang, L., Huang J., Liu Z., & Vu H. L. (2021).  An agent-based model for real-time bus stop-skipping and holding schemes. Transportmetrica A: Transport Science. 17(4), 615 - 647.
Boyle, L. M., Mackay M., & Stockman K. (2021).  Ambulance ramping, system pressure, and hospitals in crisis: what does the data tell us?. Medical Journal of Australia. 215(11), 526-527.
Baghfalaki, T.., Sugier P.., Truong T.., Pettitt A.., Mengersen K.., & Liquet B.. (2021).  Analyse de la pléiotropie dans les GWAS à l’aide de méthodes bayésiennes prenant en compte la structure de groupe de variables. Revue d'Épidémiologie et de Santé Publique. 69(Supplement 1), S24 - S25.
Munoz, M. Andres, Kirley M., & Smith-Miles K. (2021).  Analyzing randomness effects on the reliability of exploratory landscape analysis. Natural Computing.
Kandanaarachchi, S. (2021).  Anomalies and Events keep us on our toes. Shaping the Future of Data Science: Research Spotlight Series.
Talagala, P. Dilini, Hyndman R. J., & Smith-Miles K. (2021).  Anomaly Detection in High-Dimensional Data. Journal of Computational and Graphical Statistics. 30(2), 360 - 374.
Talagala, P. Dilini (2021).  Anomaly Detection in Spatio-Temporal Tensor Streams. 2021 Joint Statistical Meetings - American Statistical Association.

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