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2018
Liu, S. H., Bobb J. F., Henn B. Claus, Schnaas L., Tellez-Rojo M. M., Gennings C., et al. (2018).  Modeling the health effects of time-varying complex environmental mixtures: Mean field variational Bayes for lagged kernel machine regression. Environmetrics. 29(4), e2504.
Taylor, P. (2018).  Modelling Block Arrivals in the Bitcoin Blockchain. ICMS Conference on Stochastic Networks: Edinburgh, 25-29 June 2018..
Lovelace-Tozer, M. S. (2018).  Modelling Donor Flow through a Blood Service Centre. ANZIAM 2018.
Quill, R. (2018).  Modelling the spatio-temporal dependence of wind fields over complex terrain. Royal Statistical Society Conference.
Quill, R. (2018).  Modelling the variability of wind fields over complex terrain with spatio-temporal dependence. Australian Statistical Conference.
Garbali, A., & Wheeler M. (2018).  Modified Macdonald polynomials and integrability. arXiv. arXiv:1810.12905.
Auger, J., Creutzig T., & Ridout D. (2018).  Modularity of logarithmic parafermion vertex algebras. Letters in Mathematical Physics. 108(12), 2543 - 2587.
Chang, X-K., Hu X-B., & Li S-H. (2018).  Moment modification, multipeakons, and nonisospectral generalizations. Journal of Differential Equations. 265(9), 3858 - 3887.
Gander, P., Mangie J., Phillips A., Santos-Fernández E., & Wu L. J. (2018).  Monitoring the Effectiveness of Fatigue Risk Management: A Survey of Pilots’ Concerns. Aerospace medicine and human performance. 89(10), 889–895.
Clisby, N. (2018).  Monte Carlo Study of Four-Dimensional Self-avoiding Walks of up to One Billion Steps. Journal of Statistical Physics. 172(2), 477 - 492.
Wang, B., Chang X-K., Hu X-B., & Li S-H. (2018).  On moving frames and Toda lattices of BKP and CKP types. Journal of Physics A: Mathematical and Theoretical. 51(32), 324002.
Talagala, T. (2018).  mozzie: R package for dengue cases in Sri Lanka.
Jain, P., Vineis P., Liquet B.., Vlaanderen J., Bodinier B., van Veldhoven K., et al. (2018).  A multivariate approach to investigate the combined biological effects of multiple exposures. Journal of Epidemiology and Community Health. 72(7), 564 - 571.
Barbour, A.. D., Luczak M.. J., & Xia A.. (2018).  Multivariate approximation in total variation, I: Equilibrium distributions of Markov jump processes. The Annals of Probability. 46(3), 1351 - 1404.
Barbour, A.. D., Luczak M.. J., & Xia A.. (2018).  Multivariate approximation in total variation, II: Discrete normal approximation. The Annals of Probability. 46(3), 1405 - 1440.
Dom, Z. I. Md, Coller J. K., Carroll R. P., Tuke J., McWhinney B. C., Somogyi A. A., et al. (2018).  Mycophenolic acid concentrations in peripheral blood mononuclear cells are associated with the incidence of rejection in renal transplant recipients. British Journal of Clinical Pharmacology. 84(10), 2433–2442.
Ji, Y., & Xie H-B. (2018).  Myoelectric signal classification based on S transform and two-directional two-dimensional principal component analysis. Transactions of the Institute of Measurement and Control. 40(7), 2387 - 2395.
Cook, D. (2018).  Myth busting and apophenia in data visualisation: is what you see really there?. Ihaka Lecture, University of Auckland, NZ.
Tierney, N., Cook D., McBain M., & Fay C. (2018).  naniar: Data Structures, Summaries, and Visualisations for Missing Data.
Deutscher, A. T., Burke C. M., Darling A. E., Riegler M., Reynolds O. L., & Chapman T. A. (2018).  Near full-length 16S rRNA gene next-generation sequencing revealed Asaia as a common midgut bacterium of wild and domesticated Queensland fruit fly larvae. Microbiome. 6(1), 
Fiems, D., Mandjes M., & Patch B. (2018).  Networks of infinite-server queues with multiplicative transitions. Performance Evaluation. 123-124, 35-49.
Zeng, F., Turner I., Burrage K., & Karniadakis G. Em (2018).  A New Class of Semi-Implicit Methods with Linear Complexity for Nonlinear Fractional Differential Equations. SIAM Journal on Scientific Computing. 40(5), A2986 - A3011.
Gunawan, D.., Brown S.., Kohn R., & Tran M.. N. (2018).  New Estimation Approaches for the Linear Ballistic Accumulator Model.
Chang, X-K., He Y., Hu X-B., & Li S-H. (2018).  A new integrable convergence acceleration algorithm for computing Brezinski–Durbin–Redivo-Zaglia’s sequence transformation via pfaffians. Numerical Algorithms. 78(1), 87 - 106.
Tafakori, L., Pourkhanali A., & Nadarajah S. (2018).  A new lifetime model with different types of failure rate. Communications in Statistics - Theory and Methods. 47(16), 4006 - 4020.
Fang, C-H., Kylasa S. B., Roosta-Khorasani F., Mahoney M. W., & Grama A. (2018).  Newton ADMM.
Roosta-Khorasani, F., Liu Y., Xu P., & Mahoney M. W. (2018).  Newton-MR: Newton's Method Without Smoothness or Convexity.
Van Deynze, A., Zamora P., Delaux P-M., Heitmann C., Jayaraman D., Rajasekar S., et al. (2018).  Nitrogen fixation in a landrace of maize is supported by a mucilage-associated diazotrophic microbiota. PLOS Biology. 16(8), e2006352.
Chen, Z., Iori H., De Gier J., & Sasamoto T. (2018).  Non-Gaussian current distribution functions in multi-component particle systems. ACEMS Workshop on Multiscale Models 2018.
Howitt, G.., Melatos A.., & Delaigle A. (2018).  Nonparametric Estimation of the Size and Waiting Time Distributions of Pulsar Glitches. The Astrophysical Journal. 867(1), 60.
Kandanaarachchi, S., Acosta M. Munoz, Hyndman R. J., & Smith-Miles K. (2018).  On normalization and algorithm selection for unsupervised outlier detection.
Kandanaarachchi, S., Muñoz M. A., Smith-Miles K., & Hyndman R. J. (2018).  On normalization and algorithm selection for unsupervised outlier detection.
Olson, R.., An S.-I.., Fan Y., Evans J.. P., & Caesar L.. (2018).  North Atlantic observations sharpen meridional overturning projections. Climate Dynamics. 50(11-12), 4171-4188.
Bergmeir, C., Hyndman R. J., & Koo B. (2018).  A note on the validity of cross-validation for evaluating autoregressive time series prediction. Computational Statistics & Data Analysis. 120, 70-83.
Abdullah, FA., Liu F., Burrage P., Burrage K., & Li T. (2018).  Novel analytical and numerical techniques for fractional temporal SEIR measles model. Numerical Algorithms. 79(1), 19-40.
Zhu, W., & Fan Y. (2018).  A novel approach for Markov random field with intractable normalizing constant on large lattices. Journal of Computational and Graphical Statistics. 27(1), 59-70.
Ryan, L. M., Wright S., & Pham T. (2018).  A novel case‐control subsampling approach for rapid model exploration of large clustered binary data. Statistics in Medicine. 37(6), 899-913.
Feng, L.B., Liu F., Turner I., & Zheng L. (2018).  Novel numerical analysis of multi-term time fractional viscoelastic non-newtonian fluid models for simulating unsteady MHD Couette flow of a generalized Oldroyd-B fluidAbstract. Fractional Calculus and Applied Analysis. 21(4), 1073 - 1103.
Tierney, N. John, Reinhold H.J., Mira A., Weiser M., Burkart R., Benvenuti C., et al. (2018).  Novel relocation methods for automatic external defibrillator improve out-of-hospital cardiac arrest coverage under limited resources. Resuscitation. 125, 83 - 89.
Tierney, N., McBain M., & Cook D. (2018).  Now you see it? Now you don’t? The role of graphics in identifying MCMC convergence. ISCB ASC 2018.
Chen, S., Liu F., Turner I., & Hu X. (2018).  Numerical inversion of the fractional derivative index and surface thermal flux for an anomalous heat conduction model in a multi-layer medium. Applied Mathematical Modelling. 59, 514 - 526.
Draidi, W.., & Qatanani N.. (2018).  NUMERICAL SCHEMES FOR SOLVING VOLTERRA INTEGRAL EQUATIONS WITH CARLEMAN KERNEL. International Journal of Apllied Mathematics. 31(5), 
Talagala, P. Dilini (2018).  oddstream.
Talagala, P. Dilini, Hyndman R. J., Smith-Miles K., Kandanaarachchi S., & Munoz M. A. (2018).  oddstream and stray: Anomaly Detection in Streaming Temporal Data with R. useR! 2018.
Talagala, P. Dilini (2018).  oddwater.
Edwards, M., Mitchell L., Tuke J., & Roughan M. (2018).  The one comparing narrative social network extraction techniques. arXiv preprint arXiv:1811.01467.
Wang, E., Kurniawati H., & Kroese D. (2018).  An On-line Planner for POMDPs with Large Discrete Action Space: A Quantile-Based Approach. Internatonal Conference on Automated Planning and Scheduling (ICAPS). 273-277.
Hazel, S., Jenvey C., & Tuke J. (2018).  Online Relinquishments of Dogs and Cats in Australia. Animals. 8(2), 25.
Finn, C. (2018).  OpenEPSim: An Open Exclusion Process Simulation Tool. Journal of Open Source Software. 3(24), 650.
Dehideniya, M. B., Drovandi C. C., & McGree J. (2018).  Optimal Bayesian design for discriminating between models with intractable likelihoods in epidemiology. Computational Statistics & Data Analysis. 124, 277 - 297.

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