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2018
L. F. South, Mira A., & Drovandi C. C. (2018).  Regularised Zero-Variance Control Variates. arXiv. arXiv:1811.05073v1.
[Anonymous] (2018).  Reinforcement learning for functional state spaces with application to Type 1 Diabetes..
Ngo, P. D., Wei S., Holubova A., Muzik J., & Godtliebsen F. (2018).  Reinforcement-learning optimal control for type-1 diabetes. 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI). 333 - 336.
Gertsbakh, I. B., Shpungin Y., & Vaisman R. (2018).  Reliability of a Network with Heterogeneous Components. (Lisnianski, A., Frenkel I., & Karagrigoriou A., Ed.).Recent Advances in Multi-state Systems Reliability. 3 - 18.
Muñoz, M. A., Kirley M., & Smith-Miles K. (2018).  Reliability of Exploratory Landscape Analysis.
Fransen, J., Baxter-Jones A., & Woodcock S. (2018).  Responding to the Commentary on the Article: “Improving the Prediction of Maturity From Anthropometric Variables Using a Maturity Ratio”. Pediatric Exercise Science. 30(2), 311 - 313.
Belletête, J., Ridout D., & Saint-Aubin Y. (2018).  Restriction and induction of indecomposable modules over the Temperley–Lieb algebras. Journal of Physics A: Mathematical and Theoretical. 51(4), 045201.
Lamers, J. (2018).  Resurrecting the partially isotropic Haldane-Shastry model. Physical Review B. 97(21), 
Ebert, A., Wu P., Mengersen KL., & Ruggeri F. (2018).  A Review of Distances on Functional Datasets for Likelihood-Free Inference. Joint International Society for Clinical Biostatistics and Australian Statistical Conference 2018.
Turschwell, M. P., Stewart-Koster B., Leigh C., Peterson E., Sheldon F., & Balcombe S. R. (2018).  Riparian restoration offsets predicted population consequences of climate warming in a threatened headwater fish. Aquatic Conservation: Marine and Freshwater Ecosystems. 28(3), 575 - 586.
Wang, N., Wang Y-G., Hu S., Hu Z-H., Xu J., Tang H., et al. (2018).  Robust Regression with Data-Dependent Regularization Parameters and Autoregressive Temporal Correlations. Environmental Modeling & Assessment. 23(6), 779-786.
[Anonymous] (2018).  rOpenSci: Empowering people with community, software, and peer review.
Lee, S. A., Lumley T., & Pearse A. R. (2018).  rwalkable.
Loertscher, S., Muir E., & Taylor P. (2018).  Sampling without replacement: a story of noncentral hypergeometric distributionsoperations.. ANZIAM 2018, the 54th Applied Mathematics Conference, Hobart, Tasmania..
Ross, N., & Wen Y. (2018).  Scaling limits for some random trees constructed inhomogeneously. Electronic Journal of Probability. 23,
Hyndman, R. J., Hashemi M., Haghbin H., & Zamani A. (2018).  Seasonal functional autoregressive models. ACEMS/MATRIX Conference on Functional Data Analysis and Beyond.
Talagala, T. (2018).  seer: Feature-based Forecast Model Selection.
Talagala, T. (2018).  seer: R package for feature-based forecast model selection. useR 2018.
Forrester, P., & Ipsen J. (2018).  Selberg integral theory and Muttalib–Borodin ensembles. Advances in Applied Mathematics. 95, 152 - 176.
Datta, G., Delaigle A., Hall P. Gavin, & Wang L. (2018).  Semi-parametric prediction intervals in small areas when auxiliary data are measured with error.. Statistica Sinica. 28(4), 2309-2335.
Luts, J., Wang S. S. J., Ormerod J. T., & Wand M. (2018).  Semiparametric Regression Analysis via Infer.NET. Journal of Statistical Software. 87(2), 
Gross, M.., Donat M.. G., Alexander L.. V., & Sisson S. (2018).  The sensitivity of daily temperature variability and extremes to dataset choice. Journal of Climate. 31(4), 1337-1359.
Walker, J. N. (2018).  A sequential approach to data-augmented MCMC. ANZIAM.
Taylor, P., Fackrell M., & Costa A. M. (2018).  A Sequential Stochastic Mixed Integer Programming Model for Tactical Master Surgery Scheduling.. INFORMS 2018, The annual meeting of Institute for Operations Research and the Management Science, Phoenix, The United States. .
Taylor, P., Fackrell M., & Costa A. M. (2018).  A sequential stochastic mixed integer programming model for tactical master surgery scheduling.. ORAHS 2018, The 44th annual meeting of the EURO Working Group on Operational Research Applied to Health Services, Oslo, Norway..
Kumar, A., Costa A. M., Fackrell M., & Taylor P. (2018).  A sequential stochastic mixed integer programming model for tactical masters surgery scheduling. European Journal of Operational Research. 270(2), 734-746.
Moores, M. T., Carson J., & Girolami M. (2018).  serrsBayes.
Bellsky, T., & Mitchell L. (2018).  A shadowing-based inflation scheme for ensemble data assimilation. Physica D: Nonlinear Phenomena. 380-381, 1 - 7.
Frazier, D. T. (2018).  A SIMPLE ITERATIVE Z-ESTIMATOR FOR SEMIPARAMETRIC MODELS. Econometric Theory. 1 - 31.
Arratia, R., Barbour A.D.., Ewens W.J.., & Tavaré S. (2018).  Simulating the component counts of combinatorial structures. Theoretical Population Biology. 122, 5 - 11.
FALLETTA, J.., & Woodcock S. (2018).  A simulation study of Texas hold'em poker: what Taylor Swift understands and James Bond doesn't. The ANZIAM Journal. 60(01), 55 - 64.
Ridout, D., Siu S., & Wood S. (2018).  Singular vectors for the W N algebras. Journal of Mathematical Physics. 59(3), 031701.
Kenyon, R., De Gier J., & Watson S. (2018).  Six vertex limit shape outside the free fermion point. Gaussian Free Fields and Related Topics.
Lawson, B. A. J., Burrage K., Burrage P., Drovandi C. C., & Bueno-Orovio A. (2018).  Slow Recovery of Excitability Increases Ventricular Fibrillation Risk as Identified by Emulation. Frontiers in Physiology. 9, 1114.
Baffour, B., Silva D., Veiga A., Sexton C., & Brown J. (2018).  Small area estimation strategy for the 2011 Census in England and Wales. Statistical Journal of the IAOS. 34(3), 395 - 407.
L. F. South, & Salomone R. (2018).  SMC-NS.
Mathews, P., Gray C., Mitchell L., Nguyen G., & Bean N. G. (2018).  SMERC: Social media event response clustering using textual and temporal information. 2018 IEEE International Conference on Big Data (Big Data). 8622082.
Huque, H., Anderson C., Walton R., Wolford S., & Ryan L. M. (2018).  Smooth individual level covariates adjustment in disease mapping. Biometrical Journal. 60(3), 597-615.
Dokumentov, A., & Hyndman R. J. (2018).  smoothAPC: Smoothing of Two-Dimensional Demographic Data, Optionally Taking into Account Period and Cohort Effects.
Fan, W.., Liu F., Jiang X.., & Turner I. (2018).  Some novel numerical techniques for an inverse problem of the multi-term time fractional partial differential equation. Journal of Computational and Applied Mathematics. 336, 114-126.
Wang, S., Roosta-Khorasani F., Xu P., & Mahoney M. W. (2018).  Spark GIANT.
Sutton, M., Thiébaut R., & Liquet B.. (2018).  Sparse partial least squares with group and subgroup structure. Statistics in Medicine. 37(23), 3338 - 3356.
Holloway, J., Mengersen KL., & Helmstedt K. J. (2018).  Spatial and machine learning methods of satellite imagery analysis for Sustainable Development Goals. IAOS-OECD Better Statistics for Better Lives.
Hoef, J. M. Ver, Peterson E., Hooten M. B., Hanks E. M., & Fortin M-J. (2018).  Spatial Autoregressive Models for Statistical Inference from Ecological Data. Ecological Monographs. 88(1), 36-59.
Collevecchio, A., Holmes M., & Kious D. (2018).  On the speed of once-reinforced biased random walk on trees. Electronic Journal of Probability. 23,
Quiroz, M., Tran M-N., Villani M., & Kohn R. (2018).  Speeding up MCMC by Delayed Acceptance and Data Subsampling. Journal of Computational and Graphical Statistics. 27(1), 12 - 22.
Duan, Q., & Kroese D. (2018).  Splitting for Multi-objective Optimization. Methodology and Computing in Applied Probability. 20(2), 517-533.
Deelstra, G., Kozpınar S., & Simon M. (2018).  Spread and basket option pricing in a Markov‐modulated Lévy framework with synchronous jumps. Applied Stochastic Models in Business and Industry. 34(6), 782 - 802.
Pearse, A. R., McGree J., Som N., & Peterson E. (2018).  SSNdesign: an R package for pseudo-Bayesian optimal and adaptive design on stream networks. UseR!2018.
Zeng, F., Turner I., & Burrage K. (2018).  A Stable Fast Time-Stepping Method for Fractional Integral and Derivative Operators. Journal of Scientific Computing. 77(1), 283 - 307.

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