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2019
Ducharme, G. R., & de Micheaux P. Lafaye (2019).  A goodness-of-fit test for elliptical distributions with diagnostic capabilities.
Kylasa, S., Roosta F., Mahoney M. W., & Grama A. (2019).  GPU Accelerated Sub-Sampled Newton's Method for Convex Classification Problems. SIAM International Conference on Data Mining. 702 - 710.
Xia, K., Zhan H., Ji A., Shao J., Gu YT., & Li Z. (2019).  Graphynes: an alternative lightweight solution for shock protection. Beilstein Journal of Nanotechnology. 10, 1588 - 1595.
Kang, Y., Li F., & Hyndman R. J. (2019).  GRATIS: GeneRAting TIme Series with diverse and controllable characteristics.
Kang, Y., Hyndman R. J., & Li F. (2019).  GRATIS: GeneRAting TIme Series with diverse and controllable characteristics. arXiv. arXiv:1903.02787v1.
Gupta, S., Hyndman R. J., Cook D., & Unwin A. (2019).  gravitas: Explore Probability Distributions for Bivariate Temporal Granularities.
Dang, K-D., Quiroz M., Kohn R., Tran M-N., & Villani M. (2019).  Hamiltonian Monte Carlo with Energy Conserving Subsampling. Journal of Machine Learning Research. 20(100), 1-31.
Sutton, M., Mengersen KL., & Liquet B.. (2019).  [HDDA] sparse subspace constrained partial least squares. Journal of Statistical Computation and Simulation. 89(6), 1005-1019.
Woodley, A., McLaughlin C., Hutson H., Geva S., Chappell T., Kelly W., et al. (2019).  High Resolution Change Detection Using Planet Mosaic. 2019 IEEE International Geoscience and Remote Sensing Symposium. 6578 - 6581.
Smith, M. Stanley, Loaiza-Maya R., & Nott D. J. (2019).  High-dimensional Copula Variational Approximation through Transformation.
Freret, L.., Ivan L.., De Sterck H., & Groth C.. P. T. (2019).  High-Order Finite-Volume Method with Block-Based AMR for Magnetohydrodynamics Flows. Journal of Scientific Computing. 79, 176-208.
Lock, O., Bednarz T., & Pettit C. (2019).  HoloCity – exploring the use of augmented reality cityscapes for collaborative understanding of high-volume urban sensor data. The 17th International Conference on Virtual-Reality Continuum and its Applications in IndustryThe 17th International Conference on Virtual-Reality Continuum and its Applications in Industry on - VRCAI '19. 1 - 2.
Roughan, M., Mitchell L., & South T. (2019).  How the Avengers assemble: Ecological modelling of effective cast sizes for movies. arXiv. arXiv:1906.08403v1.
Gomez-Nieto, R.., Benitez-Restrepo H.D., & Cabezas I. (2019).  How Video Object Tracking Is Affected by In-capture Distortions?. ICASSP 2019.
Cook, D. (2019).  Human vs computer: when visualising data, who wins?. Data Science, Statistics and Visualisation 2019 (at the 62nd World Statistics Conference).
Bednarz, T. (2019).  Hybrid Analytics, Digital Twins and Expanded Perception and Interaction. 25th ACM Symposium on Virtual Reality Software and Technology (VRST 2019).
Gilholm, P., Mengersen KL., & Thompson H. (2019).  Identifying latent subgroups of children with developmental delay using Bayesian sequential updating and Dirichlet process mixture modelling - poster Bayes on the Beach. Bayes on the Beach 2019.
Gilholm, P., Mengersen KL., & Thompson H. (2019).  Identifying latent subgroups of children with developmental delay using Bayesian sequential updating and Dirichlet process mixture modelling - poster. 40th Annual Conference of the International Society for Clinical Biostatistics.
Li, C., Xie H-B., Fan X., Da Xu R. Yi, Van Huffel S., Sisson S., et al. (2019).  Image Denoising Based on Nonlocal Bayesian Singular Value Thresholding and Stein’s Unbiased Risk Estimator. IEEE Transactions on Image Processing. 28(10), 4899 - 4911.
Bednarz, T., Tobia M., Nguyen H., & Branchaud D. (2019).  Immersive Analytics using Augmented Reality for Computational Fluid Dynamics Simulations. The 17th International Conference on Virtual-Reality Continuum and its Applications in IndustryThe 17th International Conference on Virtual-Reality Continuum and its Applications in Industry on - VRCAI '19. 1 - 2.
Ockelford, A., Woodcock S., & Haynes H. (2019).  The impact of inter‐flood duration on non‐cohesive sediment bed stability. Earth Surface Processes and Landforms. 44(14), 2861 - 2871.
Coller, J. K., Ramachandran J., John L., Tuke J., Wigg A., & Doogue M. (2019).  The impact of liver transplant recipient and donor genetic variability on tacrolimus exposure and transplant outcome. British Journal of Clinical Pharmacology. 85(9), 2170-2175.
Foumani, M., & Smith-Miles K. (2019).  The impact of various carbon reduction policies on green flowshop scheduling. Applied Energy. 249, 300 - 315.
Hodgkinson, L., Salomone R., & Roosta F. (2019).  Implicit Langevin Algorithms for Sampling From Log-concave Densities. arXiv. arXiv:1903.12322v1.
Feroz, F., Hobson M. P., Cameron E., & Pettitt A. N. (2019).  Importance Nested Sampling and the MultiNest Algorithm. The Open Journal of Astrophysics. 2(1), 11120.
Eshragh, A., Ganim B., & Perkins T. (2019).  The Importance of Environmental Factors in Forecasting Australian Power Demand.
Black, A. J. (2019).  Importance sampling for partially observed temporal epidemic models. Statistics and Computing. 29(4), 617-630.
Bailleres, H., Lee D., Kumar C., Psaltis S. T. P., Hopewell G., Brancheriau L., et al. (2019).  Improving returns from southern pine plantations through innovative resource characterisation.
Smith-Miles, K. (2019).   In AI we trust … or should we? Show us the stress testing!. Australasian Joint Conference on Artificial Intelligence and Australasian Data Mining Conference.
Chakravorty, D., Banerjee K., Mapder T., & Saha S. (2019).  In silico modeling of phosphorylation dependent and independent c-Myc degradation. BMC Bioinformatics. 20, 230.
Glenny, V., Tuke S. Jonathan, Bean N. G., & Mitchell L. (2019).  In the Humanities and Social Sciences, there is increasing interest in approaches to information extraction, prediction, intelligent linkage, and dimension reduction applicable to large text corpora. With approaches in these fields being grounded in tradi. arXiv. arXiv:1904.06941v1.
Laat, M. A., Reiche D. B., Sillence M. N., & McGree J. M. (2019).  Incidence and risk factors for recurrence of endocrinopathic laminitis in horses. Journal of Veterinary Internal Medicine. 33(3), 1473 - 1482.
Wu, J., Wang N., Hu Z-H., Hong Z., & Wang Y-G. (2019).  Incorporating Social Objectives in Evaluating Sustainable Fisheries Harvest Strategy. Environmental Modeling & Assessment. 24(4), 381-386.
Frazier, D. T., & Koo B. (2019).  Indirect Inference for Locally Stationary Models.
Frazier, D., & Renault E. (2019).  Indirect Inference: Which Moments to Match?. Econometrics. 7(1), 14.
Frazier, D. T., Oka T., & Zhu D. (2019).  Indirect inference with a non-smooth criterion function. Journal of Econometrics. 212(2), 623 - 645.
Frazier, D. T., & Renault E. (2019).  Indirect Inference With(Out) Constraints. arXiv. arXiv:1607.06163.
Kou, K., Baade P. D., Gatton M., Cramb S., Sun J., Lu Z., et al. (2019).  Individual- and Area-Level Socioeconomic Inequalities in Esophageal Cancer Survival in Shandong Province, China: A Multilevel Analysis. Cancer Epidemiology Biomarkers & Prevention. 28(9), 1427 - 1434.
Hautphenne, S., Braunsteins P., & Abril C. Minuesa (2019).  Inference in Population-Size-Dependent Branching Processes. Seventh Wellington Workshop in Probability and Mathematical Statistics.
Pollett, P. (2019).  Infinite-patch metapopulation models: branching, convergence and chaos. 6th Conference on Mathematical Models in Ecology and Evolution.
Wei, L., Chen Q., & Li Z. (2019).  Influences of plaque eccentricity and composition on the stent–plaque–artery interaction during stent implantation. Biomechanics and Modeling in Mechanobiology. 18(1), 45 - 56.
Bagrow, J. P., Liu X., & Mitchell L. (2019).  Information flow reveals prediction limits in online social activity. Nature Human Behaviour. 3(2), 122 - 128.
Shen, H., Bednarz T., Nguyen H., Feng F., Wyeld T., Hoek P. J., et al. (2019).  Information visualisation methods and techniques: State-of-the-art and future directions. Journal of Industrial Information Integration. 16, 100102.
Mondal, N., Roy C., Peketi A., Alam M., Mapder T., Mandal S., et al. (2019).  Inorganic salts and compatible solutes help mesophilic bacteria inhabit the high temperature waters of a Trans-Himalayan sulfur-borax spring. bioRxiv. 678680.
Kandanaarachchi, S., Acosta M. Munoz, & Smith-Miles K. (2019).  Instance Space Analysis for Unsupervised Outlier Detection. 1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning.
Smith-Miles, K. (2019).  Instance Spaces for Objective Assessment of Algorithms and Benchmark Test Suites. 1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2019) Workshop at the SIAM International Conference on Data Mining (SDM19), May 2‑4, 2019.
Burrage, P., Burrage K., & MacNamara S. (2019).  Integrated Approaches for Stochastic Chemical Kinetics. 17th International Conference of Numerical Analysis and Applied Mathematics.
Burrage, P. (2019).  Integrated Approaches for Stochastic Chemical Kinetics. ANZIAM Conference 2019.
de Belen, R. Anthony J., Bednarz T., & Del Favero D. (2019).  Integrating Mixed Reality and Internet of Things as an Assistive Technology for Elderly People Living in a Smart Home. The 17th International Conference on Virtual-Reality Continuum and its Applications in IndustryThe 17th International Conference on Virtual-Reality Continuum and its Applications in Industry on - VRCAI '19. 1 - 2.
Tang, M., Gandhi NS., Burrage K., & Gu YT. (2019).  Interaction of gold nanosurfaces/nanoparticles with collagen-like peptides. Physical Chemistry Chemical Physics . 21(7), 3701-3711.

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