Publications

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2020
Zhang, B., Yang Y., Zhao D., & Wu J. (2020).  A robust decomposition-ensemble framework for wind speed forecasting. 020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV). 9305351.
Xie, H-B., Li C., Da Xu R. Yi, & Mengersen KL. (2020).  Robust Kernelized Bayesian Matrix Factorization for Video Background/Foreground Separation. (Nicosia, G., Pardalos P., Umeton R., Giuffrida G., & Sciacca V., Ed.).Lecture Notes in Computer Science: Machine Learning, Optimization, and Data Science. 1, 484 - 495.
Asanjarani, A., & Nazarathy Y. (2020).  The Role of Information in System Stability with Partially Observable Servers. Methodology and Computing in Applied Probability. 22, 949-968.
Alahmadi, A. A., Flegg J. A., Cochrane D. G., Drovandi C. C., & Keith J. M. (2020).  Run_file_Malariah from A comparison of approximate versus exact techniques for Bayesian parameter inference in nonlinear ordinary differential equation models.
Dandekar, R., Henderson S. G., Jansen H. M., McDonald J., Moka S. Babu, Nazarathy Y., et al. (2020).  Safe Blues: A Method for Estimation and Control in the Fight Against COVID-19. medRxiv.
Dyson, F. J., Frankel N. E., & Guttmann A. J. (2020).  SanD primes and numbers. Journal of Integer Sequences. 23, 20.3.4.
Moores, M., Nicholls G., Pettitt A., & Mengersen KL. (2020).  Scalable Bayesian Inference for the Inverse Temperature of a Hidden Potts Model. Bayesian Analysis. 15(1), 1-27.
Bardsley, J. M., Cui T., Marzouk Y. M., & Wang Z. (2020).  Scalable Optimization-Based Sampling on Function Space. SIAM Journal on Scientific Computing. 42(2), A1317 - A1347.
Yang, E., Bui H. H., De Sterck H., Nguyen G. D., & Bouazza A. (2020).  A scalable parallel computing SPH framework for predictions of geophysical granular flows. Computers and Geotechnics. 121, 103474.
Dartois, S., & Forrester P. J. (2020).  Schwinger–Dyson and loop equations for a product of square Ginibre random matrices. Journal of Physics A: Mathematical and Theoretical. 53(17), 175201.
Browning, A. P., Jin W., Plank M. J., & Simpson M. J. (2020).  scratchIBM.
Browning, A. P., Warne D. J., Burrage K., Baker R. E., & Simpson M. J. (2020).  SDE-Identifiability.
Adams, M. P., Koh E. J. Y., Vilas M. P., Collier C. J., Lambert V. M., Sisson S. A., et al. (2020).  Seagrass Cumulative Stress Index (CSI) Program: Software for "Predicting seagrass decline due to cumulative stressors".
Xu, P., Roosta F., & Mahoney M. W. (2020).  Second-order Optimization for Non-convex Machine Learning: an Empirical Study. 2020 SIAM International Conference on Data Mining. 199 - 207.
Talagala, T., Hyndman R. J., & Athanasopoulos G. (2020).  seer.
Brown, R. D., Bardsley J. M., & Cui T. (2020).  Semivariogram methods for modeling Whittle–Matérn priors in Bayesian inverse problems. Inverse Problems. 36(5), 055006.
Tanaka, E. (2020).  Simple outlier detection for a multi‐environmental field trial. Biometrics. 76(4), 1374 - 1382.
Herath, S., Roughan M., & Glonek G. (2020).  Simulating Name-like Vectors for Testing Large-scale Entity Resolution. arXiv. arXiv:2009.03014v1.
MacNamara, S., Blanes S., & Iserles A. (2020).  Simulation of bimolecular reactions: Numerical challenges with the graph Laplacian. 14th Engineering Mathematics and Applications Conference. 61, C59 - C74.
Simon, M. (2020).  SIR epidemics with stochastic infectious periods. Stochastic Processes and their Applications. 130(7), 4252-4274.
Lefèvre, C., & Simon M. (2020).  SIR-Type Epidemic Models as Block-Structured Markov Processes. Methodology and Computing in Applied Probability. 22, 433-453.
Laa, U., Cook D., & Valencia G. (2020).  A Slice Tour for Finding Hollowness in High-Dimensional Data. Journal of Computational and Graphical Statistics. 29(3), 681 - 687.
Fola, A. A., Kattenberg E., Razook Z., Lautu-Gumal D., Lee S., Mehra S., et al. (2020).  SNP barcodes provide higher resolution than microsatellite markers to measure Plasmodium vivax population geneticsAbstractBackgroundMethodsResultsConclusions. Malaria Journal. 19, 375.
Varghese, A., Drovandi C., Mira A., & Mengersen K. (2020).  Source code: Estimating a novel stochastic model for within-field disease dynamics of banana bunchy top virus via approximate Bayesian computation.
Forbes, J., Cook D., & Hyndman R. J. (2020).  Spatial modelling of the two‐party preferred vote in Australian federal elections: 2001–2016. Australian & New Zealand Journal of Statistics. 62(2), 168 - 185.
Aswi, A., Cramb S., Hu W., White G., & Mengersen K. L. (2020).  Spatio-Temporal Analysis of Dengue Fever in Makassar Indonesia: A Comparison of Models Based on CARBayes. (Mengersen, K. L., Pudlo P., & Robert C. P., Ed.).Lecture Notes in Mathematics: Case Studies in Applied Bayesian Data Science. 2259, 229 - 244.
Salomone, R., Quiroz M., Kohn R., Villani M., & Tran M-N. (2020).  Spectral Subsampling MCMC for Stationary Time Series. Proceedings of the 37th International Conference on Machine Learning. 119, 8449-8458.
Collevecchio, A., & Jung P. (2020).  On the speed and spectrum of mean-field random walks among random conductances. Stochastic Processes and their Applications. 130(6), 3477-3498.
Zhang, L. (2020).  Spillovers of Program Benefits with Mismeasured Networks. arXiv. arXiv:2009.09614v1,
Lin, Y-fan., Duan Q., Zhou Y., Yuan T., Li P., Fitzpatrick T., et al. (2020).  Spread and Impact of COVID-19 in China: A Systematic Review and Synthesis of Predictions From Transmission-Dynamic Models. Frontiers in Medicine. 7, 321.
Prescott, A., Coupland M., Angelini M., & Schuck S. (2020).  Springer Briefs in Education: Making School Maths Engaging.
Pearse, A. R., McGree J. M., Som N. A., Leigh C., Maxwell P., Hoef J. M. Ver, et al. (2020).  SSNdesign—An R package for pseudo-Bayesian optimal and adaptive sampling designs on stream networks. PLoS ONE. 15(9), e0238422.
Quill, R.., Sharples J.. J., & Sidhu L.. A. (2020).  A Statistical Approach to Understanding Canopy Winds over Complex Terrain. Environmental Modeling & Assessment. 25, 231-250.
Duplantier, B., & Guttmann A. J. (2020).  Statistical Mechanics of Confined Polymer Networks. Journal of Statistical Physics. 180(1-6), 1061 - 1094.
Hwang, H., & Ryan L. M. (2020).  Statistical strategies for the analysis of massive data sets. Biometrical Journal. 62(2), 270-281.
Bostan, A., Price A. Elvey, Guttmann A. J., & Maillard J-M. (2020).  Stieltjes moment sequences for pattern-avoiding permutations. The Electronic Journal of Combinatorics. 27(4), P4.20.
Burrage, K., Burrage P., Davis J., Bednarz T., Kim J., Vercelloni J., et al. (2020).  A stochastic model of jaguar abundance in the Peruvian Amazon under climate variation scenarios. Ecology and Evolution. 10(19), 10829 - 10850.
Callan, T., & Woodcock S. (2020).  Stochastic modelling of chlamydial infections. 14th Engineering Mathematics and Applications Conference. 61, C89 - C103.
Foumani, M., Razeghi A., & Smith-Miles K. (2020).  Stochastic optimization of two-machine flow shop robotic cells with controllable inspection times: From theory toward practice. Robotics and Computer-Integrated Manufacturing. 61, 101822.
Holloway-Brown, J., Helmstedt K. J., & Mengersen KL. (2020).  Stochastic spatial random forest (SS-RF) for interpolating probabilities of missing land cover data. Journal of Big Data. 7(1), 55.
Nolan, T. H., & Wand M. (2020).  STREAMLINED SOLUTIONS TO MULTILEVEL SPARSE MATRIX PROBLEMS. The ANZIAM Journal. 62(1), 18 - 41.
Paritala, P. Kumari, Yarlagadda P. K. D. V., Kansky R., Wang J., Mendieta J. Benitez, Gu YT., et al. (2020).  Stress-Relaxation and Cyclic Behavior of Human Carotid Plaque Tissue. Frontiers in Bioengineering and Biotechnology. 8, 60.
Gunawan, D., Dang K-D., Quiroz M., Kohn R., & Tran M-N. (2020).  Subsampling sequential Monte Carlo for static Bayesian models. Statistics and Computing. 30(6), 1741 - 1758.
Vaisman, R. (2020).  Subset selection via continuous optimization with applications to network design. Environmental Monitoring and Assessment. 192(6), 361.
Moores, M., Nicholls G., Pettitt A., & Mengersen K. (2020).  Supplemental Content: March 2020 Scalable Bayesian Inference for the Inverse Temperature of a Hidden Potts Model.
Thompson, A., & Menéndez P. (2020).  Supplementary report to the final report of the coral reef expert group: S5. Statistical power of existing AIMS Long-Term Reef Monitoring Programs. Reef 2050 Coral Reef Expert Group (RIMRep).
Jahan, F., Ullah I., & Mengersen K. L. (2020).  A Survey of Bayesian Statistical Approaches for Big Data. (Mengersen, K. L., Pudlo P., & Robert C. P., Ed.).Lecture Notes in Mathematics: Case Studies in Applied Bayesian Data Science. 2259, 17 - 44.
Quella, T. (2020).  Symmetry-protected topological phases beyond groups: The. Physical Review B. 102(8), 081120.
Parker, C., Rohrlach A. B., Friederich S., Nagel S., Meyer M., Krause J., et al. (2020).  A systematic investigation of human DNA preservation in medieval skeletons. Scientific Reports. 10(1), 18225.
Wilson-Stewart, K. S., Fontanarosa D., Li D., Drovandi C. C., Anderson R. K., & Trapp J. V. (2020).  Taller staff occupationally exposed to less radiation to the temple in cardiac procedures, but risk higher doses during vascular cases. Scientific Reports. 10, 16103.