1. Home
  2. Publications

Publications

Found 3140 results
Filters: Peer-reviewed-publications is   [Clear All Filters]
2021
von Haeseler, A., Burgstaller-Muehlbacher S., Crotty S. M., Schmidt H. A., & Drucks T. (2021).  Model selection on empirical data using deep learning. Society for Molecular Biology and Evolution 2021.
Whyte, J. M. (2021).  Model Structures and Structural Identifiability: What? Why? How?. (D.R., W., J. de. Gier, C.E. P., & T. T., Ed.).2019-20 MATRIX Annals. 185–213.
Browning, A. P., Maclaren O. J., Buenzli P. R., Lanaro M., Allenby M. C., Woodruff M. A., et al. (2021).  Model-based data analysis of tissue growth in thin 3D printed scaffolds. Journal of Theoretical Biology. 528, 110852.
Davoudabadi, M. Javad, Pagendam D., Drovandi C., Baldock J., & White G. (2021).  Modelling and predicting soil carbon sequestration: is current model structure fit for purpose?. 2021 World Meeting of the International Society for Bayesian Analysis.
Davoudabadi, M. Javad, Pagendam D., Drovandi C., Baldock J., & White G. (2021).  Modelling and predicting soil carbon sequestration: is current model structure fit for purpose?. arXiv. arXiv:2105.04789v1.
Turner, I. (2021).  Modelling anomalous diffusion in lignocellulosic biomaterials using a fractional subdiffusion equation. Workshop on the Intersections of Computation and Optimisations.
Hogg, J. (2021).  Modelling cancer risk factors and incidence in Australia. ACEMS Students and ECR Retreat.
Hogg, J. (2021).  Modelling cancer risk factors and incidence in Australia. BRAG Meeting.
Hogg, J. (2021).  Modelling cancer risk factors and incidence in Australia. Data Science HDR Academy Event.
Warne, D. J., Wu P., Jin W., Thompson A. A., Simpson M. J., Mengersen K., et al. (2021).  Modelling coral reef recovery for monitoring the health of the Great Barrier Reef. 2021 Australian and New Zealand Statistical Conference (ANZSC2021).
Abraj, M., M Thompson H., & Wang Y-G. (2021).  Modelling of Anisotropic Spatial Random Fields Using Mixture Copulas. Early Career & Student Statisticians Conference (ECSSC 2021).
Taylor, P. (2021).  Modelling the Bitcoin blockchain: what can probability and statistics teach us?. Early Career & Student Statisticians Conference (ECSSC 2021).
Warne, D. J., Ebert A., Drovandi C., & Hu W. (2021).  Modelling the response of communities to COVID-19 outbreaks. 2nd Ecosystem Change and Population Health Symposium (ECAPH 2021).
Forrester, P. J. (2021).  Moments of the ground state density for the d-dimensional Fermi gas in an harmonic trap. Random Matrices: Theory and Applications. 10(02), 2150018.
Godahewa, R., Bergmeir C., Webb G. I., Hyndman R. J., & Manso P. Montero (2021).  Monash Time Series Forecasting Archive. arXiv. arXiv:2105.06643v1.
Hyndman, R. J. (2021).  MonashEBSTemplates: Monash EBS Rmarkdown Templates.
Boyle, L. (2021).  Monitoring overcrowding in a network of hospital emergency departments. 22nd European Young Statisticians Meeting (EYSM 2021).
Bandara, K., Hyndman R. J., & Bergmeir C. (2021).  MSTL: A Seasonal-Trend Decomposition Algorithm for Time Series with Multiple Seasonal Patterns. arXiv. arXiv:2107.13462v1.
Warne, D. J., Prescott T. P., Baker R. E., & Simpson M. J. (2021).  Multifidelity multilevel Monte Carlo to accelerate approximate Bayesian parameter inference for partially observed stochastic processes. arXiv. arXiv:2110.14082v1.
Turner, I. (2021).  Multiscale modelling of lignocellulosic biomaterials. ANZIAM 2021.
Zhu, M., Wu J., & Wang Y‐G. (2021).  Multi‐horizon accommodation demand forecasting: A New Zealand case study. International Journal of Tourism Research. 23(3), 442-453.
Alsahafi, S., & Woodcock S. (2021).  Mutual inhibition in presence of a virus in continuous culture. Mathematical Biosciences and Engineering. 18(4), 3258 - 3273.
Su, S., Gouil Q., Blewitt M. E., Cook D., Hickey P. F., Ritchie M. E., et al. (2021).  NanoMethViz: An R/Bioconductor package for visualizing long-read methylation data. PLOS Computational Biology. 17(10), e1009524.
Tanaka, E. (2021).  nestr: Build Nesting or Hierarchical Structures.
Psaltis, S. T. P., Kumar C., Turner I., Carr E. J., Farrell T., Brancheriau L., et al. (2021).  A new approach for predicting board MOE from increment cores. Annals of Forest Science. 78(3), 78.
Martin, G. M. (2021).  New Approaches to Probabilistic Prediction. Shaping the Future of Data Science: Research Spotlight Series.
Perera, T., McGree J., Egodawatta P., Jinadasa K.B.S.N.., & Goonetilleke A. (2021).  New conceptualisation of first flush phenomena in urban catchments. Journal of Environmental Management. 281, 111820.
Grazian, C. (2021).  New formulation of the Logistic-Gaussian process to analyse trajectory tracking data. 2021 Australian and New Zealand Statistical Conference (ANZSC2021).
Guttmann, T. (2021).  Non-crossing paths on a lattice. ANZAMP Seminar Series.
Roach, C., Hyndman R., & Ben Taieb S. (2021).  Non‐linear mixed‐effects models for time series forecasting of smart meter demand. Journal of Forecasting. 40(6), 1118-1130.
Matamoros, A. Alonzo, Nieto-Reyes A., Hyndman R. J., O'Hara-Wild M., & Trapletti A.. (2021).  nortsTest: Assessing Normality of Stationary Process (Version 1.0.3.
Mengersen, K. (2021).  (Not) Aggregating Data. 2021 Australian and New Zealand Statistical Conference (ANZSC2021).
[Anonymous] (2021).  (Not) Aggregating Data - Corcoran Memorial Virtual Lecture, University of Oxford UK - 21/01/2021. Corcoran Memorial Lecture, University of Oxford UK.
Collevecchio, A., & Zeng X. (2021).  A note on recurrence of the Vertex reinforced jump process and fractional moments localization. Electronic Journal of Probability. 26, 63.
Frazier, D. T., Loaiza-Maya R., & Martin G. M. (2021).  A Note on the Accuracy of Variational Bayes in State Space Models: Inference and Prediction. arXiv. arXiv:2106.12262v2.
Frazier, D. T., Loaiza-Maya R., & Martin G. M. (2021).  A Note on the Accuracy of Variational Bayes in State Space Models: Inference and Prediction. arXiv. arXiv:2106.12262v1.
Yang, S., Liu F., Feng L., & Turner I. (2021).  A novel finite volume method for the nonlinear two-sided space distributed-order diffusion equation with variable coefficients. Journal of Computational and Applied Mathematics. 388, 113337.
Gibson, L. J., Jacko P., & Nazarathy Y. (2021).  A Novel Implementation of Q-Learning for the Whittle Index. (Zhao, Q., & Xia L., Ed.).14th EAI International Conference, VALUETOOLS 2021. 404, 154 - 170.
March, N. G., Carr E. J., & Turner I. W. (2021).  Numerical Investigation into Coarse-Scale Models of Diffusion in Complex Heterogeneous Media. Transport in Porous Media. 139, 467–489.
Whyte, J. M. (2021).  Numerical investigation of structural minimality for structures of uncontrolled linear switching systems with Maple. Maple Conference 2021.
Qi, X., Bertling K., Taimre T., Agnew G., Lim Y. Leng, Gillespie T., et al. (2021).  Observation of optical feedback dynamics in single-mode terahertz quantum cascade lasers: Transient instabilities. Physical Review A. 103(3), 033504.
Nadarajah, K.., Martin G. M., & Poskitt D.S.. (2021).  Optimal bias correction of the log-periodogram estimator of the fractional parameter: A jackknife approach. Journal of Statistical Planning and Inference. 211, 41 - 79.
Teo, M., Bean N. G., & Ross J. V. (2021).  Optimised prophylactic vaccination in metapopulations. Epidemics. 34, 100420.
Zhang, L., & Thompson R. G. (2021).  Optimising Product Swaps in Urban Retail Networks. 8th International Physical Internet Conference.
Bardsley, J. M., & Cui T. (2021).  Optimization-Based Markov Chain Monte Carlo Methods for Nonlinear Hierarchical Statistical Inverse Problems. SIAM/ASA Journal on Uncertainty Quantification. 9(1), 29-64.
De Sterck, H., Falgout R. D., Friedhoff S., Krzysik O. A., & MacLachlan S. P. (2021).  Optimizing multigrid reduction‐in‐time and Parareal coarse‐grid operators for linear advection. Numerical Linear Algebra with Applications. 28(4), e2367.
Mengerson, K. (2021).  The Origami of Data Science. 63rd ISI World Statistics Congress (ISI 2021).
Kandanaarachchi, S. (2021).  outlierensembles: A Collection of Outlier Ensemble Algorithms.
Hyndman, R. J., Roberts J., O'Hara-Wild M., Tierney N J., & Gruer A. (2021).  ozbabynames: Australian Popular Baby Names.
Carroll, J., Dmitrijeva M.., Hanson J., Hyndman R. J., Lyons S., Roach C., et al. (2021).  ozdata: Import and explore freely available Australian data sets.

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