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2016
Zamora, C. A., Oshmyansky A., Bembea M., Berkowitz I., Alqahtani E., Liu S., et al. (2016).  Resistive index variability in anterior cerebral artery measurements during daily transcranial duplex sonography: A predictor of cerebrovascular complications in infants undergoing extracorporeal membrane oxygenation?. Journal of Ultrasound in Medicine. 35(11), 2459-2465.
Caley, P., Stanaway M., Goodwin M., Barry S., Taylor S., Bottrill M., et al. (2016).  Review and redesign of the national bee pest surveilance program.
Ryan, E. G., Drovandi C. C., McGree J., & Pettitt A.N. (2016).  A Review of Modern Computational Algorithms for Bayesian Optimal Design. International Statistical Review. 84(1), 128-154.
Wells, J. A., Wilson K. A., Abram N., Nunn M., Gaveau D. L. A., Runting R. K., et al. (2016).  Rising floodwaters: Mapping impacts and perceptions of flooding in Indonesian Borneo. Environmental Research Letters. 11(6), 
Bateman, H., Eckert C., Geweke J., Louviere J., Satchell S., & Thorp S. (2016).  Risk presentation and portfolio choice. Review of Finance. 20(1), 201-229.
Harjanto, D., Papamarkou T., Oates C., Rayon-Estrada V., Papavasiliou F. N., & Papavasiliou A. (2016).  RNA editing generates cellular subsets with diverse sequence within populations. Nature Communications. 7, 12145-12145.
Anees, A., Aryal J., O'Reilly MM., Gale T. J., & Wardlaw T. (2016).  A robust multi-kernel change detection framework for detecting leaf beetle defoliation using Landsat 7 ETM+ data. ISPRS Journal of Photogrammetry and Remote Sensing. 122, 167-178.
Ye, N. (2016).  Robustness of Bayesian pool-based active learning against prior misspecification. Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16).
Braunsteins, P., Hautphenne S., & Taylor P. (2016).  The roles of coupling and the deviation matrix in determining the value of capacity in M/M/1/C queues. Queueing Systems. 83(1-2), 157-179.
Delaigle, A., Meister A., & Rombouts J. (2016).  Root-T consistent density estimation in GARCH models. Journal of Econometrics. 192(1), 55-63.
Mandjes, M., & Taylor P. (2016).  The running maximum of a level-dependent quasi-birth-and-death process. Probability in the Engineering and Informational Sciences. 30(02), 212-223.
Delacroix, S., Chokka R., Nelson A., Sidharta S., Teo K., Tuke J., et al. (2016).  Safety and efficacy of pro ANP 31-67 in cardiorenal syndrome: A first-in-human trial. Journal of the American College of Cardiology. 67(13), 
Steponavič\.e, I., Shirazi-Manesh M., Hyndman R. J., Smith-Miles K., Villanova L., Pardalos P.. M., et al. (2016).  On sampling methods for costly multi-objective black-box optimization. Advances in Stochastic and Deterministic Global Optimization. 273–296.
Drovandi, C. C., Cusimano N., Psaltis S. T. P., Lawson B. A. J., Pettitt A.N., Burrage P., et al. (2016).  Sampling methods for exploring between-subject variability in cardiac electrophysiology experiments. Journal of The Royal Society Interface. 13(121), 
Ivanovs, J., Latouche G., Taylor P., & Taylor P. (2016).  Scale Matrices for Matrix-Analytic Models. Applied Probability Symposium.
Etwire, E., Ariyawardana A., & Mortlock M. Y. (2016).  Seed Delivery Systems and Farm Characteristics Influencing the Improved Seed Uptake by Smallholders in Northern Ghana. Sustainable Agriculture Research. 5(2), 27.
Bednarz, T. (2016).  Seeing the Power of VR in Conservation. Seoul Creative Dream Forum 2016.
Carr, E. J., & Turner I. (2016).  A semi-analytical solution for multilayer diffusion in a composite medium consisting of a large number of layers. Applied Mathematical Modelling. 40(15-16), 7034-7050.
Botev, Z. I., Ridder A., & Rojas-Nandayapa L. (2016).  Semiparametric cross entropy for rare-event simulation. Journal of Applied Probability. 53(03), 633-649.
Rohde, D., & Wand M. (2016).  Semiparametric mean field variational Bayes: General principles and numerical issues. Journal of Machine Learning Research. 17(172), 
Harezlak, J. (2016).  Semiparametric Regression with R (ADDED FEE) — Professional Development Continuing Education Course . Joint Statistical Meeting 2016.
L. F. South, Drovandi C. C., & Pettitt A.N. (2016).  Sequential Monte Carlo for static Bayesian models with independent MCMC proposals.
Geweke, J. (2016).  Sequentially adaptive Bayesian learning for a nonlinear model of the secular and cyclical behavior of US real GDP. Econometrics. 4(1), 
Johansen, T. A., Perez T., & Cristofaro A. (2016).  Ship collision avoidance and COLREGS compliance using simulation-based control behavior selection with predictive hazard assessment. IEEE Transactions on Intelligent Transportation Systems. 17(12), 3407-3422.
Ross, N. (2016).  Shotgun assembly of labelled graphs. Melbourne-Singapore Probability and Statistics Forum.
Bertling, K., Taimre T., Agnew G., Lim Y. L., Dean P., Indjin D., et al. (2016).  Simple electrical modulation scheme for laser feedback imaging. IEEE Sensors Journal. 16(7), 1937-1942.
Olson, R., Fan Y., & Evans J. P. (2016).  A simple method for Bayesian model averaging of regional climate model projections: Application to southeast Australian temperatures. Geophysical Research Letters. 43(14), 7661-7669.
Rubinstein, R. Y., & Kroese D. (2016).  Simulation and the Monte Carlo Methods. 1-432.
Bornemann, F., & Forrester P. (2016).  Singular values and evenness symmetry in random matrix theory. Forum Mathematicum. 28(5), 873-891.
Forrester, P., & Liu D. (2016).  Singular values for products of complex Ginibre matrices with a source: Hard edge limit and phase transition. Communications in Mathematical Physics. 344(1), 333-368.
Isaak, D. J., Young M. K., Luce C. H., Hostetler S. W., Wenger S. J., Peterson E., et al. (2016).  Slow climate velocities of mountain streams portend their role as refugia for cold-water biodiversity. Proceedings of the National Academy of Sciences. 113(16), 4374-4379.
Bartlett, M., & Wang J. (2016).  The social and economic impact of a new cancer diagnosis - analysis of the 45 and Up Study.
Reddan, T., Corness J., Mengersen KL., & Harden F. (2016).  Sonographic diagnosis of acute appendicitis in children: A 3-year retrospective. Sonography. 3(3), 87-94.
Sutton, M., & Thiebaut R. (2016).  Sparse Group Subgroup PLS for Genomics. International Symposium for Big Data Visualisation Analytics (BDVA).
Ashley Steel, E.., Sowder C., & Peterson E. (2016).  Spatial and temporal variation of water temperature regimes on the Snoqualmie river network. JAWRA Journal of the American Water Resources Association. 52(3), 769-787.
Cramb, S., Duncan EW., White N., Baade P. D., & Mengersen KL. (2016).  Spatial Modelling Methods.
Huque, MH., Bondell H. D., Carroll R. J., & Ryan L. M. (2016).  Spatial regression with covariate measurement error: A semiparametric approach. Biometrics. 72(3), 678-686.
Hsieh, J. C. - F., Cramb S., McGree J., Dunn N. A. M., Baade P. D., & Mengersen KL. (2016).  Spatially varying coefficient inequalities: Evaluating how the impact of patient characteristics on breast cancer survival varies by location. PLOS ONE. 11(5), 
Anderson, C. (2016).  Spatio-temporal modelling of heart disease in New South Wales, Australia. 26th Annual Conference of The International Environmetrics Society.
Cramb, S., Mengersen KL., & Baade P. D. (2016).  Spatio-temporal relative survival of breast and colorectal cancer in Queensland, Australia 2001–2011. Spatial and Spatio-temporal Epidemiology. 19, 103-114.
Kohn, R. (2016).  Speeding Up MCMC by Efficient Data Subsampling. ISBA 2016 World Meeting, Sardinia .
Kroese, D., Duan Q., & Kroese D. (2016).  Splitting for Continuous Optimization. International Workshop on Applied Probability.
Duan, Q., & Kroese D. (2016).  Splitting for optimization. Computers & Operations Research. 73, 119 - 131.
Vaisman, R., Kroese D., & Gertsbakh I. B. (2016).  Splitting sequential Monte Carlo for efficient unreliability estimation of highly reliable networks. Structural Safety. 63, 1 - 10.
Dorr, G. J., Forster W. A., Mayo L. C., McCue S. W., Kempthorne D. M., Hanan J., et al. (2016).  Spray retention on whole plants: modelling, simulations and experiments. Crop Protection. 88, 118-130.
Jensen, I. (2016).  Square lattice self-avoiding walks and biased differential approximants. Journal of Physics A: Mathematical and Theoretical. 49(42), 
Delaigle, A. (2016).  Statistical analysis of incompletely observed functional data. Fourth International Conference on the Interface between Statistics and Engineering.
P. de Micheaux, L., Heljbum B., Thiébaut R., & Liquet B.. (2016).  Statistical Methods For Analysing High-Dimensional Data and Massive Data. International Conference on Mathematics : Education, Theory, and Application (ICMETA).
Cook, A., & Mengersen KL. (2016).  Statistical review and update of detection surveilance systems for non indigenous species of terrestial plants vertebrates and invertebrates on Barrow Island.
Heydar, M., Yu J., Liu Y., & Petering M. E. H. (2016).  Strategic evacuation planning with pedestrian guidance and bus routing: a mixed integer programming model and heuristic solution. Journal of Advanced Transportation. 50(7), 1314 - 1335.

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