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2019
Eddelbuettel, D., Zahn I., & Hyndman R. J. (2019).  binb: 'binb' is not 'Beamer'.
Zakikhani, P., Ho R., Wang W., & Li Z. (2019).  Biomechanical assessment of aortic valve stenosis: Advantages and limitations. Medicine in Novel Technology and Devices. 2, 100009.
Wang, Z-L., & Li S-H. (2019).  BKP hierarchy and Pfaffian point process. Nuclear Physics B. 939, 447 - 464.
Taylor, P. (2019).  Block arrivals in the Bitcoin blockchain. 16th Workshop on Algorithms and Models for the Web Graph (WAW 2019).
Budd, J.K.., & Taylor P. (2019).  Bounds for the solution to the single-period inventory model with compound renewal process input: An application to setting credit card limits. European Journal of Operational Research. 274(3), 1012 - 1018.
Collevecchio, A., Huynh C. Bang, & Kious D. (2019).  The branching-ruin number as critical parameter of random processes on trees. Electronic Journal of Probability. 24, 121.
Tierney, N., Cook D., & Prvan T. (2019).  brolgar: BRowse Over Longitudinal data Graphically and Analytically in R.
Cook, D. (2019).  Building plots to explore data: Beyond histograms, barcharts and scatterplots to high-dimensions and statistical inference. ISI World Statistics Conference 2019.
Bruggemann, T. S., Ford J. J., White G., & Perez T. (2019).  Bushfire emergency response simulation.
Bruggerman, T., Ford J., White G., Perez T., & Power W. (2019).  Bushfire emergency response uncertainty quantification.
Kunnel, A., Glonek G., & Tuke J. (2019).  Can Hypercubes Overcome the Issue of High Dimensionality in Gene Expression Data for Sepsis. Young Statisticians Conference 2019.
Wang, J., Paritala P. Kumari, Mendieta J. Benitez, Gu YT., Raffel O. Christophe, McGahan T., et al. (2019).  Carotid Bifurcation With Tandem Stenosis—A Patient-Specific Case Study Combined in vivo Imaging, in vitro Histology and in silico Simulation. Frontiers in Bioengineering and Biotechnology. 7,
Yao, X., Dai Z., Zhang X., Gao J., Xu G., Cai Y., et al. (2019).  Carotid Geometry as a Predictor of In-Stent Neointimal Hyperplasia　― A Computational Fluid Dynamics Study ―. Circulation Journal. 83(7), 1472 - 1479.
Kennedy, D. W., White N. M., Benton M. C., Lea R. A., & Mengersen KL. (2019).  Cell-type specific analysis of heterogeneous methylation signal using a Bayesian model-based approach. bioRxiv. 682070.
Barbour, A.. D., & Roellin A. (2019).  Central limit theorems in the configuration model. Annals of Applied Probability. 29(2), 1046-1069.
Mengersen, KL. (2019).  The Challenges, Discoveries and Examples of ABC. The 12th International Conference on Monte Carlo Methods and Applications.
McLaughlin, C., Hutson H., De Vine L., Woodley A., Geva S., Chappell T., et al. (2019).  Change Detection over the State of Queensland using High Resolution Planet Satellite Mosaics. 2019 Digital Image Computing: Techniques and Applications (DICTA). 8945942.
Wang, Y-G., & Wu J. (2019).   Chaotic time series regression modeling using phase space reconstruction and deep neural network. The 20th INFORMS Applied Probability Society Conference.
McGrory, C. A., Ahfock D. C., & Lemos R. T. (2019).  Climate regime shift detection with a trans‐dimensional, sequential Monte Carlo, variational Bayes method. Australian & New Zealand Journal of Statistics. 61(2), 175 - 188.
Cameron, J., Kennedy D., & Mengersen KL. (2019).  Clustering and Peer grouping DEX organisations.
Delaigle, A., Hall P., & Pham T. (2019).  Clustering functional data into groups by using projections. Journal of the Royal Statistical Society. Series B: Statistical Methodology. 81(2), 271 - 304.
Wijerathne, W.. D. C. C., Rathnayaka C.. M., Karunasena H.. C. P., Senadeera W.., Sauret E.., Turner I., et al. (2019).  A coarse-grained multiscale model to simulate morphological changes of food-plant tissues undergoing drying. Soft Matter. 15(5), 901 - 916.
Tsuchida, R. (2019).  Code to supplement "Richer priors for infinitely wide multi-layer perceptrons".
Oliveira, B. B., Carravilla M. Antónia, Oliveira J. F., & Costa A. M. (2019).  A co-evolutionary matheuristic for the car rental capacity-pricing stochastic problem. European Journal of Operational Research. 276(2), 637 - 655.
Lim, Y. Leng, Bertling K., Taimre T., Gillespie T., Glenn C., Robinson A., et al. (2019).  Coherent imaging using laser feedback interferometry with pulsed-mode terahertz quantum cascade lasers. Optics Express. 27(7), 10221.
Nguyen, H., Ward B., Engelke U., Thomas B., & Bednarz T. (2019).  Collaborative Data Analytics Using Virtual Reality. 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). 1098 - 1099.
Peterson, E., Mengersen KL., Vercelloni J., & Brown R. (2019).  Combining citizen science and professional monitoring data to conserve and sustainably use marine resources. 62nd ISI World Statistics Congress.
de Belen, R. Anthony J., Del Favero D., & Bednarz T. (2019).  Combining Mixed Reality and Internet of Things: An Interaction Design Research on Developing Assistive Technologies for Elderly People. (J., Z., & G. S., Ed.).Human Aspects of IT for the Aged Population. Social Media, Games and Assistive Environments.. 1, 291 - 304.
Forrester, P., & Trinh A. K. (2019).  Comment on “Finite size effects in the averaged eigenvalue density of Wigner random-sign real symmetric matrices”. Physical Review E. 99(3), 036101.
Anderson, C., Hafen R., Sofrygin O., Ryan L. M., & Community members. of the H. B. G. (2019).  Comparing predictive abilities of longitudinal child growth models. Statistics in Medicine. 38(19), 3555 - 3570.
Duncan, E. (2019).  Comparing spatial models in the presence of spatial smoothing. School of Mathematics and Statistics Seminar.
Blackston, J.., Chapple A., McGree J., McDonald S., & Nikles J. (2019).  Comparison of Aggregated N-of-1 Trials with Parallel and Crossover Randomized Controlled Trials Using Simulation Studies. Healthcare. 7(4), 137.
Hu, S., Li Y.., Ingham A.., Hurley G.. B., Gonzalez E.. G., & Wang Y-G. (2019).  Comparison of Machine Learning Algorithms in Classification of Grazing Behaviour in Sheep. The 20th INFORMS Applied Probability Society Conference.
Maestrini, L., Aykroyd R. G., & Wand M. (2019).  Compartmentalisation of Variational Approximate Inference for Inverse Problems Models. 3rd International Conference on Econometrics and Statistics (EcoSta 2019).
Hyndman, R. J., & Yang Y. (2019).  compenginets: Time series.
Fang, S., Grimm J., Zhou Z., & Deng Y. (2019).  Complete graph and Gaussian fixed point asymptotics in the five-dimensional Fortuin-Kasteleyn Ising model with periodic boundaries. arXiv. arXiv:1909.04328v2 .
Fisher, N. I. (2019).  A Comprehensive Approach to Problems of Performance Measurement. With Discussion and author's reply. Journal of the Royal Statistical Society Series A.. 182(3), 755–803.
Maffioli, L., Clisby N., Frascoli F., & Todd B.. D. (2019).  Computation of the equilibrium three-particle entropy for dense atomic fluids by molecular dynamics simulation. The Journal of Chemical Physics. 151(16), 164102.
Gunawan, D.., Tran M.-N.., Suzuki K.., Dick J.., & Kohn R. (2019).  Computationally efficient Bayesian estimation of high-dimensional Archimedean copulas with discrete and mixed margins. Statistics and Computing. 29(5), 933-946.
Cramb, S., Duncan EW., Baade PD., & Mengersen KL. (2019).  Computing the Australian Cancer Atlas: getting it ‘just right’. The 12th International Conference on Monte Carlo Methods and Applications.
P., B. R., P. G. M., & J. G. A. (2019).  A conjectured integer sequence arising from the exponential integral. Journal of Integer Sequences. 22(19.4.7), 
Kipp, M., Laa U., & Cook D. (2019).  Connecting R with D3 for dynamic graphics, to explore multivariate data with tours. The R Journal. 11(1), 245-249.
Harris, D., Martin G. M., Perera I., & Poskitt D.. S. (2019).  Construction and Visualization of Confidence Sets for Frequentist Distributional Forecasts. Journal of Computational and Graphical Statistics. 28(1), 92-104.
Samuelson, A., O'Reilly MM., & Bean N. G. (2019).  Construction of algorithms for discrete-time quasi-birth-and-death processes through physical interpretation. The 10th International Conference on Matrix-Analytic Methods in Stochastic Models. 53-57.
Wyeld, T., Shen H., & Bednarz T. (2019).  Containerisation as a method for supporting multiple VR visualisation platforms from a single data source. 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 - 3.
Ballard, P. (2019).  Contract No. FA5209-17-C-0008 – Final Report of Option 1 Period.
Ballard, P. (2019).  Contract No. FA5209-17-C-0008 – Interim Report of Option 1 Period.
Ballard, P. (2019).  Contract No. FA5209-17-C-0008 – Software Documentation, Option 1 Period.
Latouche, G., Nguyen G., & Peralta O. (2019).  Convergence of bivariate flip–flop processes. Queues, Modelling, and Markov Chains: A Workshop Honouring Prof. Peter Taylor.
Nguyen, G. (2019).  Convergence of stochastic processes. Third Victorian Research Students' Meeting in Probability and Statistics.

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