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2017
Cramb, S., Moraga P., Mengersen KL., & Baade P. D. (2017).  Spatial variation in cancer incidence and survival over time across Queensland, Australia. Spatial and Spatio-temporal Epidemiology. 23, 59 - 67.
Foster, S. D., Hosack G. R., Lawrence E., Przeslawski R., Hedge P., M. Caley J., et al. (2017).  Spatially balanced designs that incorporate legacy sites. Methods in Ecology and Evolution. 8(11), 1433 - 1442.
Cespedes, M. I., McGree J., Drovandi C. C., Mengersen KL., Doecke J., & Fripp J. (2017).  Spatio-temporal brain cortical patterns of Alzheimer's disease. Bayes on the Beach.
Cespedes, M. I., McGree J., Drovandi C. C., Mengersen KL., Doecke J., & Fripp J. (2017).  Spatio-temporal cortical brain patterns of Alzheimer's disease. The International Biometric Society Australasian Region Conference.
Nguyen, Q. Vinh, Klein K., Engelke U., Bednarz T., & Heinrich J. (2017).  Special issue on Big Data Visual Analytics. Journal of Visual Languages & Computing. 41, 70.
Ridout, D. (2017).  The standard module formalism: the modular group and logCFT. Integrability in Low-Dimensional Quantum Systems.
O'Reilly, MM., & Scheinhardt W. (2017).  Stationary distributions for a class of Markov-modulated tandem fluid queues. Stochastic Models. 33(4), 524 - 550.
Ji, Y., & Xie H. (2017).  Stationary wavelet and two-directional 2dpca for pattern recognition of electromyographic signal. Proceedings of the 2017 International Conference on Wavelet Analysis and Pattern Recognition.
Ji, Y., & Xie H. (2017).  Stationary wavelet-based two-directional two-dimensional principal component analysis for EMG signal classification. Measurement Science Review. 17(3), 
Ryan, L. M. (2017).  Statistical Strategies for Big Data. Meeting of the Eastern Mediterranean Region of the International Biometric Society.
Vaisman, R., & Kroese D. (2017).  Stochastic Enumeration Method for Counting Trees. Methodology and Computing in Applied Probability. 19(1), 31 - 73.
Samuelson, A., Haigh A., O'Reilly MM., & Bean N. G. (2017).  Stochastic model for maintenance in continuously deteriorating systems. European Journal of Operational Research. 259(3), 1169 - 1179.
Lee, X. J., Fulford G. R., Pettitt A.N., & Ruggeri F. (2017).  A stochastic model for MRSA transmission within a hospital ward incorporating environmental contamination. Epidemiology and Infection. 145(4), 825-838.
Fan, X., Li B., & Sisson S. (2017).  Stochastic Patching Process. Bayes on the Beach 2017.
Zhang, L., Stuart C., Rajapaksha S., White G., & Garoni T. M. (2017).  Study of Cross-Correlations in Traffic Networks with Applications to Perimeter Control. Transportation Research Record: Journal of the Transportation Research Board. 2623, 108 - 116.
Reddan, T., Corness J., Powell J., Mengersen KL., & Harden F. (2017).  Stumped? It Could be Stump Appendicitis (ePoster). The Society for Pediatric Radiology 60th Annual Meeting and Categorical Course. s228–s228.
Lee, J., Brown J., & Ryan L. M. (2017).  Sufficiency Revisited: Rethinking Statistical Algorithms in the Big Data Era. The American Statistician. 71(3), 202 - 208.
Wang, E., Cook D., & Hyndman R. J. (2017).  sugrrants: Provides ‘ggplot2’ graphics for analysing time series data..
Blondeau-Fournier, O., Mathieu P., Ridout D., & Wood S. (2017).  Superconformal minimal models and admissible Jack polynomials. Advances in Mathematics. 314, 71 - 123.
Herbert, J.., Bertling K.., Taimre T., Rakić A.D.., & Wilson S.. (2017).  Surface roughness characterisation using optical feedback interferometry. Electronics Letters. 53(4), 268 - 270.
Asmussen, S., Hashorva E., Laub P., & Taimre T. (2017).  Tail asymptotics of light-tailed Weibull-like sums.
Asmussen, S., Hashorva E., Laub P., & Taimre T. (2017).  Tail asymptotics of light-tailed Weibull-like sums. Applied Probability At The Rock.
Agnew, G., Grier A., Taimre T., Bertling K., Lim Y. Leng, Ikonic Z., et al. (2017).  Temperature-Dependent High-Speed Dynamics of Terahertz Quantum Cascade Lasers. IEEE Journal of Selected Topics in Quantum Electronics. 23(4), 1 - 9.
Wrigley, A., Lee W. Sun, & Ye N. (2017).  Tensor Belief Propagation. International Conference on Machine Learning. 3771–3779.
Turschwell, M. P., Balcombe S. R., Ashley Steel E.., Sheldon F., & Peterson E. (2017).  Thermal habitat restricts patterns of occurrence in multiple life-stages of a headwater fish. Freshwater Science. 36(2), 402 - 414.
Wu, P., Mengersen KL., McMahon K., Kendrick G. A., Chartrand K., York P. H., et al. (2017).  Timing anthropogenic stressors to mitigate their impact on marine ecosystem resilience. Nature Communications. 8(1), 
Diao, J., Nazarathy Y., Taimre T., & Filar J. A. (2017).  To fish or cut bait?. 2017 11th Asian Control Conference (ASCC)2017 11th Asian Control Conference (ASCC). 2473 - 2477.
Ridout, D., Kawasetsu K., & Wood S. (2017).  Towards higher-rank logarithmic CFTs. Affine, Vertex and W-algebras.
Hirsch, C., Jahnel B., Keeler H., & Patterson R. I. A. (2017).  Traffic flow densities in large transport networksAbstract. Advances in Applied Probability. 49(04), 1091 - 1115.
Ranathunga, D., Roughan M., & Nguyen H. (2017).  Understanding Course Pathways using Metagraphs.
Colin, B., Clifford S., Wu P., Rathmanner S., & Mengersen KL. (2017).  Using Boosted Regression Trees and Remotely Sensed Data to Drive Decision-Making. Open Journal of Statistics. 07(05), 859 - 875.
Mengersen, KL. (2017).  Using Earth Observation Data for Offcial Statistics. 4th UN Conference on Big Data.
Horne, A., Kaur S., Szemis J., Costa A. M., J Webb A., Nathan R., et al. (2017).  Using optimization to develop a `designer' environmental flow regime. Environmental Modelling {&} Software. 88, 188–199.
Psaltis, S. T. P., Farrell T., Burrage K., Burrage P., McCabe P., Moroney T. J., et al. (2017).  Using population of models to investigate and quantify gas production in a spatially heterogeneous coal seam gas field. Applied Mathematical Modelling. 49, 338 - 353.
Carusi, A., Rodriguez B., & Burrage K. (2017).  Validation and models in computational biomedical sciences: Philosophy, science, engineering.
[Anonymous] (2017).  Variable selection Bayes on the Beach Workshop 2017. Bayes on the Beach 2017.
Tran, M N., Nott D. J., & Kohn R. (2017).  Variational Bayes With Intractable Likelihood. Journal of Computational and Graphical Statistics. 26(4), 873 - 882.
Feng, G., Gao J., Peng B., & Zhang X. (2017).  A varying-coefficient panel data model with fixed effects: Theory and an application to US commercial banks. Journal of Econometrics. 196(1), 68-82.
Ranathunga, D., Nguyen H., & Roughan M. (2017).  Verifiable Policy-Defined Networking using Metagraphs. IFIP Networking.
Kim, J., & Bednarz T. (2017).  Virtual reality to save endangered animals: Many eyes on the wild. 2017 IEEE Virtual Reality (VR)2017 IEEE Virtual Reality (VR). 436 - 436.
Carvajal, G.. E., Branch A.., Sisson S., Roser D.. J., van den Akker B.., Monis P.., et al. (2017).  Virus removal by ultrafiltration: Understanding long-term performance change by application of Bayesian analysis.. Water Research. 122,
Tierney, N. (2017).  visdat: Visualising Whole Data Frames. The Journal of Open Source Software. 2(16), 355.
Bednarz, T., & Gustafson L. (2017).  Visual communication of ecoacoustic data to general audiences. the 22nd International ConferenceProceedings of the 22nd International Conference on 3D Web Technology - Web3D '17. 1 - 2.
Kang, Y., Hyndman R. J., & Smith-Miles K. (2017).  Visualising forecasting algorithm performance using time series instance spaces. International Journal of Forecasting. 33, 345-358.
Komori, Y., Cohen D., & Burrage K. (2017).  Weak Second Order Explicit Exponential Runge–Kutta Methods for Stochastic Differential Equations. SIAM Journal on Scientific Computing. 39(6), A2857–A2878.
Fisher, N. I., & Peacock A. J. (2017).  What Collaborators Want: Planning, Monitoring and Evaluating Research Collaborations.. Journal of Creating Value. 3((1)), 93-103.
Bagrow, J. P., Danforth C. M., & Mitchell L. (2017).  Which friends are more popular than you? Contact strength and the friendship paradox in social networks. The 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM '17), . 103-108.
2016
Tran, M N., Pitt M. K., & Kohn R. (2016).  Adaptive Metropolis–Hastings sampling using reversible dependent mixture proposals. Statistics and Computing. 26(1-2), 361-381.
Garthwaite, P. H., Fan Y., & Sisson S. (2016).  Adaptive optimal scaling of Metropolis-Hastings algorithms using the Robbins-Monro process. Communications in Statistics - Theory and Methods. 45(17), 5098-5111.
Yuan, Z. B., Nie Y. F., Liu F., Turner I., Zhang G. Y., & Gu Y. T. (2016).  An advanced numerical modeling for Riesz space fractional advection–dispersion equations by a meshfree approach. Applied Mathematical Modelling. 40(17-18), 7816-7829.

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