1. Home
  2. Publications

Publications

Found 3140 results
Filters: Peer-reviewed-publications is   [Clear All Filters]
2019
Jeon, J., Panagiotelis A., & Petropoulos F. (2019).  Probabilistic forecast reconciliation with applications to wind power and electric load. European Journal of Operational Research. 279(2), 364-379.
Gamakumara, P., Panagiotelis A., Athanasopoulos G., & Hyndman R. (2019).  Probabilistic Hierarchical Reconciliation via a Non-parametric Bootstrap Approach. International Symposium on Forecasting. 39,
Kundu, I., Taimre T., Li L., Indjin D., Mangeney J., Tignon J., et al. (2019).  Probing Ultrafast Switch-on Dynamics of Frequency Tuneable Semiconductor Lasers Using Terahertz Time-domain Spectroscopy. 2019 IEEE Photonics Society Summer Topical Meeting Series (SUM)2019 IEEE Photonics Society Summer Topical Meeting Series (SUM). 1 - 2.
South, T. (2019).  ProcessEntropy.
Nikles, J.., O'Sullivan J.D.., Mitchell G.K.., Smith S.S.., McGree J.M.., Senior H.., et al. (2019).  Protocol: Using N-of-1 tests to identify responders to melatonin for sleep disturbance in Parkinson's disease. Contemporary Clinical Trials Communications. 15, 100397.
Rodrigues, T.., Dortet-Bernadet J.-L.., & Fan Y.. (2019).  Pyramid Quantile Regression. Journal of Computational and Graphical Statistics. 28(3), 732 - 746.
Severinsen, A., & Hyndman R. J. (2019).  Quantification of energy savings from energy conservation measures in buildings using machine learning. European Council for an Energy Efficient Economy Summer Study 2019.
Beaton, N. R., Owczarek A. L., & Xu R. (2019).  Quarter-plane lattice paths with interacting boundaries: Kreweras and friends. 31st International Conference on Formal Power Series and Algebraic Combinatorics. Seminaire Lotharingien de Combinatoire 82B, Article #26.
Pollett, P. (2019).  Quasi stationarity. The 10th International Conference on Matrix-Analytic Methods in Stochastic Models. 52.
Shang, H. Lin, & Hyndman R. J. (2019).  rainbow: Bagplots, Boxplots and Rainbow Plots for Functional Data.
Froese, J. G., Pearse A. R., & Hamilton G. (2019).  Rapid spatial risk modelling for management of early weed invasions: Balancing ecological complexity and operational needs. (Silvestro, D., Ed.).Methods in Ecology and Evolution. 10(12), 2105-2117.
Nguyen, G., & Peralta O. (2019).  Rate of strong convergence of stochastic fluid processes to Markov-modulated Brownian motion. The 10th International Conference on Matrix-Analytic Methods in Stochastic Models. 50.
Nguyen, G., & Peralta O. (2019).  Rate of strong convergence of stochastic fluid processes to Markov-modulated Brownian motion. The 20th INFORMS Applied Probability Society Conference.
Bellgard, M. I., Snelling T., & McGree J. M. (2019).  RD-RAP: beyond rare disease patient registries, devising a comprehensive data and analytic framework. Orphanet Journal of Rare Diseases. 14, 176.
Roach, C. (2019).  Reconciled boosted models for GEFCom2017 hierarchical probabilistic load forecasting. International Journal of Forecasting. 35(4), 1439-1450.
Forrester, P., & Kumar S. (2019).  Recursion scheme for the largest $\beta$ -Wishart–Laguerre eigenvalue and Landauer conductance in quantum transport. Journal of Physics A: Mathematical and Theoretical. 52(42), 42LT02.
Burrage, K., Burrage P., & MacNamara S. (2019).  Reflectionless models via Bessel Functions. ANZIAM Conference 2019.
Koo, B., & Ben-Taieb S. (2019).  Regularized Regression for Hierarchical Forecasting Without Unbiasedness Conditions. The 25th ACM-SIGKDD conference on Knowledge Discovery and Data Mining.
Sallustio, B. C., Noll B. D., Coller J. K., Tuke J., Russ G., & Somogyi A. A. (2019).  Relationship between allograft cyclosporin concentrations and P-glycoprotein expression in the 1st month following renal transplantation. British journal of clinical pharmacology. 85(5), 1015–1020.
Kawasetsu, K., & Ridout D. (2019).  Relaxed Highest-Weight Modules I: Rank 1 Cases. Communications in Mathematical Physics. 368(2), 627 - 663.
Dharmaprani, D., Schopp M., Kuklik P., Chapman D., Lahiri A., Dykes L., et al. (2019).  Renewal Theory as a Universal Quantitative Framework to Characterize Phase Singularity Regeneration in Mammalian Cardiac Fibrillation. Circulation: Arrhythmia and Electrophysiology. 12(12), e007569.
Xu, J., Jin G., Tang H., Mo Y., Wang Y-G., & Li L. (2019).  Response of water quality to land use and sewage outfalls in different seasons. Science of The Total Environment. 696, 134014.
Mitchell, L. J. G., Rattray B., Wu P., Saunders P. U., & Pyne D. B. (2019).  Responsiveness and Seasonal Variation of a 12 × 25-m Swimming Test. International Journal of Sports Physiology and Performance. 14(7), 966 - 971.
Zhang, Y., Bambrick H., Mengersen KL., Tong S., Feng L., Zhang L., et al. (2019).  Resurgence of Pertussis Infections in Shandong, China: Space-Time Cluster and Trend Analysis. The American Journal of Tropical Medicine and Hygiene. 100(6), 1342 - 1354.
Hirsch, M., Cook D., Lajbcygier P., & Hyndman R. J. (2019).  Revealing high-frequency trading provision of liquidity with visualization. 2nd International Conference on Software Engineering and Information Management. pp. 157-165.
Roberts, D. A., Gallagher M., & Taimre T. (2019).  Reversible Jump Probabilistic Programming. Proceedings of Machine Learning Research, PMLR . 89, 634-643.
Browning, A. P., Woodhouse F. G., & Simpson M. J. (2019).  Reversible signal transmission in an active mechanical metamaterial. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. 475(2227), 20190146.
Tsuchida, R., Roosta F., & Gallagher M. (2019).  Richer priors for infinitely wide multi-layer perceptrons. arXiv. arXiv:1911.12927v1.
Froese, J. G., Pearse A. R., & Hamilton G. S. (2019).  riskmapr.
al, Y. Xie et, & Hyndman R. J. (2019).  rmarkdown: Dynamic Documents for R.
Mayer, I., Josse J., Tierney N., & Vialaneix N. (2019).  R-miss-tastic: a unified platform for missing values methods and workflows. arXiv. arXiv:1908.04822v1.
Frazier, D. T., & Drovandi C. (2019).  Robust Approximate Bayesian Inference with Synthetic Likelihood. arXiv. arXiv:1904.04551v2.
Drovandi, C. (2019).  Robust Approximate Bayesian Inference with Synthetic Likelihood. The 12th International Conference on Monte Carlo Methods and Applications.
Jiang, Y., Wang Y-G., Fu L., & Wang X. (2019).  Robust Estimation Using Modified Huber’s Functions With New Tails. Technometrics. 61(1), 111-122.
Fan, X.., Li B.., Sisson S., Li C., & Chen L. (2019).  Scalable deep generative relational model with high-order node dependence. 33rd Conference on Neural Information Processing Systems (NeurIPS 2019).
Bardsley, J., Cui T., Marzouk Y., & Wang Z. (2019).  Scalable optimization-based sampling on function space. arXiv. arXiv:1903.00870v2.
Bon, J. J. (2019).  Scalable Samplers for High-Dimensional Models with Stochastic Nets. 12th International Conference on Monte Carlo Methods and Applications.
De Sterck, H. (2019).  Scalable Solvers for Computational Science and Data Science: Multilevel, Nonlinearly Preconditioned, and Parallel-in-Time. International Congress on Industrial and Applied Mathematics.
CREUTZIG, T.., KANADE S.., LINSHAW A.. R., & Ridout D. (2019).  SCHUR–WEYL DUALITY FOR HEISENBERG COSETS. Transformation Groups. 24(2), 301-354.
von Schiller, D.., Datry T.., Corti R.., Foulquier A.., Tockner K.., Marcé R.., et al. (2019).  Sediment Respiration Pulses in Intermittent Rivers and Ephemeral Streams. Global Biogeochemical Cycles. 33(10), 1251-1263.
Talagala, T., Hyndman R. J., & Athanasopoulos G. (2019).  seer: Feature-based FORecast Model Selection (FFORMS).
Ding, Z., Chen B., Zhang L., Jiang R., Wu Y., & Ding J. (2019).  Segment travel time route guidance strategy in advanced traveler information systems. Physica A: Statistical Mechanics and its Applications. 534, 120432.
Krzysik, O., De Sterck H., MacLachlan S., & Friedhoff S. (2019).  Selecting coarse-grid operators for Parareal and MGRIT. 19th Copper Mountain Conference on Multigrid Methods.
Jiang, Z., Ke J., Liu C., Bednarz T., Sowmya A., & Liang X. (2019).  Selective Detection and Segmentation of Cervical Cells. the 2019 11th International ConferenceProceedings of the 2019 11th International Conference on Bioinformatics and Biomedical Technology - ICBBT'19. 55 - 61.
Varney, J., Bean N. G., & Mackay M. (2019).  The self-regulating nature of occupancy in ICUs: stochastic homoeostasis. Health Care Management Science. 22(4), 615-634.
Glonek, M., Tuke J., Mitchell L., & Bean N. G. (2019).  Semi-supervised graph labelling reveals increasing partisanship in the United States Congress. Applied Network Science. 4(1), 62.
Glonek, M., Tuke J., Mitchell L., & Bean N. G. (2019).  Semi-supervised graph labelling reveals increasing partisanship in the United States Congress. arXiv. arXiv:1904.01153v2.
Rakić, A.. D., Taimre T.., Bertling K.., Lim Y.. L., Dean P.., Valavanis A.., et al. (2019).  Sensing and imaging using laser feedback interferometry with quantum cascade lasers. Applied Physics Reviews. 6(2), 021320.
di Marco, V. (2019).  Sequential Importance Sampling With Corrections For PartiallyObserved States. Bayes on the Beach.
South, L.. F., PETTITT A.. N., & Drovandi C.. C. (2019).  Sequential Monte Carlo Samplers with Independent Markov Chain Monte Carlo Proposals. Bayesian Analysis. 14(3), 753 - 776.

ARC Centre of Excellence for Mathematical & Statistical Frontiers

Peter Hall Building
The University of Melbourne
Victoria 3010
Australia

Ph: +61 3 8344 4473
Email: info@acems.org.au