1. Home
  2. Publications

Publications

Found 3140 results
Filters: Peer-reviewed-publications is   [Clear All Filters]
2017
Fan, X., Li B., & Sisson S. (2017).  Bayes On the Beach 2017. Bayes on the Beach 2017.
Sisson, S. (2017).  Bayes on the Beach Keynote. Bayes on the Beach.
Carvajal, G.. E., Roser D.. J., Sisson S., Keegan A.., & Kahn S.. (2017).  Bayesian belief network modelling of chlorine disinfection for human pathogenic viruses in municipal wastewater.. Water Research. 109,
Eklund, A., Lindquist M. A., & Villani M. (2017).  A Bayesian heteroscedastic GLM with application to fMRI data with motion spikes. NeuroImage. 155, 354–369.
Mengersen, KL. (2017).  Bayesian Maths and Stats meets new technology. ISI2017- 61st World Statistics Congress.
Mengersen, KL. (2017).  Bayesian Maths and Stats meets new technology. WIMSIG women-in-mathematical-sciences conference.
Fan, Y., Olson R., & Evans J. P. (2017).  A Bayesian posterior predictive framework for weighting ensemble regional climate models. Geoscientific Model Development. 10(6), 2321 - 2332.
Chen, C.C.-M.., Drovandi C. C., Keith J.M.., Anthony K., M. Caley J., & Mengersen KL. (2017).  Bayesian semi-individual based model with approximate Bayesian computation for parameters calibration: Modelling Crown-of-Thorns populations on the Great Barrier Reef. Ecological Modelling. 364, 113 - 123.
Aswi, A.., Cramb S., Duncan E., & Mengersen KL. (2017).  Bayesian spatial estimation when areas are few. The international Biometric Society Australasian Region conference.
Liquet, B.., Mengersen KL., Pettitt A.N., & Sutton M. (2017).  Bayesian Variable Selection Regression of Multivariate Responses for Group Data. Bayesian Analysis. 12(4), 1039 - 1067.
Poskitt, D.. S., Martin G. M., & Grose S. D. (2017).  BIAS CORRECTION OF SEMIPARAMETRIC LONG MEMORY PARAMETER ESTIMATORS VIA THE PREFILTERED SIEVE BOOTSTRAP. Econometric Theory. 33(03), 578 - 609.
Fiebig, D. G. (2017).  Big Data: Will It Improve Patient-Centered Care?. The Patient - Patient-Centered Outcomes Research. 10(2), 133 - 139.
George-Jaeggli, B., Mortlock M. Yolanda, & Borrell A. Kenneth (2017).  Bigger is not always better: Reducing leaf area helps stay-green sorghum use soil water more slowly. Environmental and Experimental Botany. 138, 119 - 129.
Benoit, L., & Jerome S. (2017).  BIG-SIR a Sliced Inverse Regression Approach for Massive Data. IASC-ARS/NZSA.
Fan, X., Li B.., & Sisson S. (2017).  The binary space partitioning tree process. ACEMS Annual Retreat poster presentation.
Tran, M N., Kohn R., Quiroz M., & Villani M. (2017).  The block pseudo-marginal sampler. Bayes on the beach.
Tran, M N., Kohn R., Quiroz M., & Villani M. (2017).  The block-pseudo marginal sampler. The 1st International Conference on Econometrics and Statistics (EcoSta 2017).
Ryan, L. M. (2017).  But I'm a Data Scientist Too, Aren't I? . Annual Meeting of the Eastern North American Region of the International Biometric Society.
Bedini, A.., Zhang L., & Garoni T. M. (2017).  A case study of a continuous flow intersection and its impact on public transport. 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC)2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC). 959 - 964.
Ma, Y., McGree J., Liu A., Deilami K., Egodawatta P., & Goonetilleke A. (2017).  Catchment scale assessment of risk posed by traffic generated heavy metals and polycyclic aromatic hydrocarbons. Ecotoxicology and Environmental Safety. 144, 593 - 600.
Wagner, M., Li X., Hendtlass T., & Wang E. (2017).  CEMAB: A Cross-Entropy-based Method for Large-Scale Multi-Armed Bandits. Artificial Life and Computational Intelligence.
Benham, T., Duan Q., Kroese D., & Liquet B.. (2017).  CEoptim: Cross-Entropy R Package for Optimization. Journal of Statistical Software. 76(8), 
Kaur, S., Horne A., Stewardson M. J., Nathan R., Costa A. M., Szemis J. M., et al. (2017).  Challenges in determining frequency of high flow spells for varying thresholds in environmental flows programs. Journal of Ecohydraulics. 2, 28–37.
Black, A. J., Geard N., McCaw J. M., McVernon J., & Ross J.V. (2017).  Characterising pandemic severity and transmissibility from data collected during first few hundred studies. Epidemics. 19, 61 - 73.
Qin, S., Liu F., Turner I., Yu Q., Yang Q., & Vegh V. (2017).  Characterization of anomalous relaxation using the time-fractional Bloch equation and multiple echo T 2 *-weighted magnetic resonance imaging at 7 T. Magnetic Resonance in Medicine. 77(4), 1485 - 1494.
Kumar, A. (2017).  Classifying patients into lower variability length of stay groups. Applied Probability @ The Rock.
Ben Taieb, S., Taylor J. W., & Hyndman R. J. (2017).  Coherent Probabilistic Forecasts for Hierarchical Time Series. International Conference on Machine Learning. 70, 3348-3357.
Ben Taieb, S., Taylor J. W., & Hyndman R. J. (2017).  Coherent probabilistic forecasts for hierarchical time series. Proceedings of the 34th International Conference on Machine Learning, PMLR. 70, 3348-3357.
Juneja, S., & Mandjes M. (2017).  Combined Acceptance-rejection and Importance Sampling Methodologies for Perfect Sampling from Gibbs Point Processes. Informs Annual Meet.
Anderson, C., & Ryan L. M. (2017).  A Comparison of Spatio-Temporal Disease Mapping Approaches Including an Application to Ischaemic Heart Disease in New South Wales, Australia. International Journal of Environmental Research and Public Health. 14(2), 146-162.
Cespedes, M. I., Fripp J., McGree J., Drovandi C. C., Mengersen KL., & Doecke J. D. (2017).  Comparisons of neurodegeneration over time between healthy ageing and Alzheimer's disease cohorts via Bayesian inference. BMJ Open. 7(2), 12174-12174.
Whitaker, T.., Beranger B.., & Sisson S. (2017).  A composite likelihood based approach for max-stable processes using histogram-valued variables. Extreme Value Analysis 2017.
Xie, H., & Guo T. (2017).  Computational Tools and Techniques for Biomedical Signal Processing. (Singh, B., Ed.).Computational Tools and Techniques for Biomedical Signal Processing. 100-122.
Ebert, A., Wu P., Mengersen KL., & Ruggeri F. (2017).  Computationally Efficient Simulation of Queues: The R Package queuecomputer. arXiv.
Thomas, A., Toms L-M. L., Harden F. A., Hobson P., White N., Mengersen KL., et al. (2017).  Concentrations of organochlorine pesticides in pooled human serum by age and gender. Environmental Research. 154, 10-18.
Mowla, A., Taimre T., Bertling K., Wilson S., & Rakic A. (2017).  Confocal laser feedback microscopy for in-depth imaging applications. Electronics Letters.
Mowla, A., Du B. Wensheng, Taimre T., Bertling K., Wilson S., H. Soyer P., et al. (2017).  Confocal laser feedback tomography for skin cancer detection. Biomedical Optics Express. 8(9), 4037.
Ariyawardana, A., Ganegodage K., & Mortlock M. Y. (2017).  Consumers’ trust in vegetable supply chain members and their behavioural responses: A study based in Queensland, Australia. Food Control. 73,
Bouchet, P. J., Meeuwig J. J., Huang Z., Letessier T. B., Nichol S. L., M. Caley J., et al. (2017).  Continental-scale hotspots of pelagic fish abundance inferred from commercial catch records. Global Ecology and Biogeography. 26(10), 1098 - 1111.
Tune, P., & Roughan M. (2017).  Controlled Synthesis of Traffic Matrices. IEEE/ACM Transactions on Networking. 25(3), 1582 - 1592.
Zhao, Y., Zhang Y., Liu F., Turner I., Tang Y., & Anh V.. (2017).  Convergence and superconvergence of a fully-discrete scheme for multi-term time fractional diffusion equations. Computers & Mathematics with Applications. 73(6), 1087 - 1099.
Helmstedt, K. J., & Possingham H.. P. (2017).  Costs are key when reintroducing threatened species to multiple release sites. Animal Conservation. 20(4), 331 - 340.
Hwang, H., Wright ST., & Ryan L. M. (2017).  Covariate Discretisation on Big Data. 10th Conference of the IASC-ARS/68th Annual NZSA Conference.
Vercelloni, J., M. Caley J., & Mengersen KL. (2017).  Crown-of-thorns starfish undermine the resilience of coral populations on the Great Barrier Reef. Global Ecology and Biogeography. 26(7), 846 - 853.
Feher, G., Garbali A., De Gier J., & Schoutens K. (2017).  A curious mapping between supersymmetric quantum chains.
Nasim, M., Rextin A., Hayat S., Khan N., & Malik M. Muddassir (2017).  Data analysis and call prediction on dyadic data from an understudied population. Pervasive and Mobile Computing. 41, 166–178.
Quince, C., Delmont T. O., Raguideau S., Alneberg J., Darling A. E., Collins G., et al. (2017).  DESMAN: a new tool for de novo extraction of strains from metagenomes. Genome biology. 18, 181.
Ye, N., Somani A., Hsu D., & Lee W. Sun (2017).  DESPOT: Online POMDP planning with regularization. Journal of Artificial Intelligence Research. 58, 231–266.
Mandjes, M., Patch B., & Walton N. (2017).  Detecting Markov Chain Instability: A Monte Carlo Approach. Stochastic Systems. 7(2), 
Rahman, M. Mahmudur, Yeganeh B., Clifford S., Knibbs L. D., & Morawska L. (2017).  Development of a land use regression model for daily NO 2 and NO x concentrations in the Brisbane metropolitan area, Australia. Environmental Modelling & Software. 95, 168 - 179.

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