Items where Subject is "Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > STATISTICS (010400) > Statistical Theory (010405)"
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Marin, Jean-Michel, Mengersen, Kerrie L., & Robert, Christian (2005) Bayesian modelling and inference on mixtures of distributions. In Dey, D. & Rao, C.R. (Eds.) Handbook of Statistics: Volume 25. Elsevier.
Mengersen, Kerrie & Stojanovski, Elizabeth (2006) Multivariate Meta-Analysis. In Chow, S (Ed.) Encyclopedia of Biopharmaceutical Statistics. Taylor & Francis Books, United States of America, pp. 1-9.
Pham, Binh L. (2002) Methods for Dealing with Dynamic Visual Data in Collaborative Applications: A Survey. In Rahman, S.M (Ed.) Multimedia Networking: Technology, Management and Applications. Idea Group Publishing, pp. 333-350.
Williams, Kristen J., Low-Choy, Samantha, Rochester, Wayne, & Alston, Clair (2012) Using Bayesian Mixture Models That Combine Expert Knowledge and GIS Data to Define Ecoregions. In Perera, Ajith H., Drew, C. Ashton, & Johnston, Chris J. (Eds.) Expert Knowledge and Its Application in Landscape Ecology. Springer Science+Business Media, United States of America, pp. 229-251.
Albert, Isabelle, Donnet, Sophie, Guihenneuc-Jouyaux, Chantal, Low-Choy, Samantha, Mengersen, Kerrie, & Rousseau, Judith (2012) Combining expert opinions in prior elicitation. Bayesian Analysis, 7(3), pp. 503-532.
Alston, Clair, Ball, A, Littlefield, P, Mengersen, Kerrie, Perry, D, Robert, C, et al. (2007) Bayesian Mixture Models in a Longitudinal Setting for Analysing Sheep CAT Scan Images. Computational Statistics and Data Analysis, 51(9), pp. 4282-4296.
Alston, Clair, Ball, A, Littlefield, P, Mengersen, Kerrie, Perry, D, & Thompson, J (2005) Extending the Bayesian Mixture Model to Incorporate Spatial Information in Analysing Sheep CAT Scan Images. Australian Journal of Agricultural Research, 56(4), pp. 373-388.
Alston, Clair & Mengersen, Kerrie (2010) Allowing for the effect of data binning in a Bayesian Normal mixture model. Computational Statistics and Data Analysis, 54(4), pp. 916-923.
Alston, Clair, Mengersen, Kerrie, & Gardner, Graham (2009) A new method for calculating the volume of primary tissue types in live sheep using computed tomography scanning. Animal Production Science, 49(11), pp. 1035-1042.
Anh, Vo V., McVinish, Ross S., & Pesee, Chatchai (2005) Estimation and simulation of the Riesz-Bessel distribution. Communications in Statistics: Theory and Methods, 34(9-10), pp. 1881-1897.
Baker, Peter, Davis, Gerard, & Mengersen, Kerrie (2005) A Bayesian Solution to Reconstructing Centrally Censored Distributions. Journal of Agricultural, Biological, and Environmental Statistics, 10(1), pp. 61-83.
Bofinger, Eve, Graham, Petra, & Mengersen, Kerrie (2008) Partitioning with respect to a control: Unequal sample sizes case. Communications in Statistics: Theory and Methods, 37(17), pp. 2713-2723.
Burdett, Robert L., Kozan, Erhan, & Strickland, Christopher (2012) A practical approach for identifying expected solution performance and robustness in operations research applications. ASOR Bulletin, 31(2), pp. 1-28.
Denham, Robert & Mengersen, Kerrie (2007) Geographically Assisted Elicitation of Expert Opinion for Regression Models. Bayesian Analysis, 2(1), pp. 99-136.
Denham, Robert, Mengersen, Kerrie, & Witte, Christian (2008) Bayesian analysis of thematic map accuracy data. Remote sensing of environment, 113(2), pp. 371-379.
Drovandi, Christopher C. & McCutchan, Roy A. (2016) Alive SMC^2: Bayesian model selection for low-count time series models with intractable likelihoods. Biometrics, 72(2), pp. 344-353.
Duffy, David, Martin, Nicholas, Mengersen, Kerrie, Oldmeadow, Chris, Visscher, Peter, & Wood, Ian (2008) Investigation of the relationship between smoking and appendicitis in Australian twins. Annals of Epidemiology, 18(8), pp. 631-636.
Earnest, Arul, Morgan, Geoff, Mengersen, Kerrie L., Ryan, Louise, Summerhayes, Richard, & Beard, John (2007) Evaluating the effect of neighbourhood weight matrices on smoothing properties of Conditional Autoregressive (CAR) models. International Journal of Health Geographics, 6(54).
Gerlach, Richard, Mengersen, Kerrie, & Tuyl, Frank (2008) Inference for proportions in a 2 x 2 contingency table: HPD or not HPD? Biometrics, 64(4), pp. 1293-1296.
Haynes, Michele & Mengersen, Kerrie (2005) Bayesian Estimation of g-and-k Distributions using MCMC. Computational Statistics, 20(1), pp. 7-30.
Haynes, Michele, Mengersen, Kerrie, & Rippon, Paul (2008) Generalized control charts for non-normal data using g-and-k distributions. Communications in Statistics - Simulation and Computation, 37(9), pp. 1881-1903.
Kang, Su Yun, McGree, James M., Drovandi, Christopher C., Caley, M. Julian, & Mengersen, Kerrie L. (2016) Bayesian adaptive design: Improving the effectiveness of monitoring of the Great Barrier Reef. Ecological Applications. (In Press)
Kuhnert, Petra, Martin, Tara, Mengersen, Kerrie, & Possingham, Hugh (2005) Assessing the Impacts of Grazing Levels on Bird Density in Woodland Habitat: A Bayesian Approach Using Expert Opinion. Environmetrics, 16(7), pp. 717-747.
McGree, James Matthew, Drovandi, Christopher C., Thompson, Helen, Eccleston, John, Duffull, Stephen, Mengersen, Kerrie, et al. (2012) Adaptive Bayesian compound designs for dose finding studies. Journal of Statistical Planning and Inference, 142(6), pp. 1480-1492.
McGree, James Matthew & Eccleston, John (2012) Robust designs for Poisson regression models. Technometrics, 54, pp. 64-72.
McGrory, Clare A. & Titterington, D. M. (2007) Variational approximations in Bayesian model selection for finite mixture distributions. Computational Statistics & Data Analysis, 51(11), pp. 5352-5367.
McVinish, Ross (2008) On the structure and estimation of reflection positive processes. Journal of Applied Probability, 45(1), pp. 150-162.
Mengersen, Kerrie L., Moynihan, Sean A., & Tweedie, Richard L. (2007) Causality and Association: The Statistical and Legal Approaches. Statistical Science, 22(2), pp. 227-254.
Moller, Jesper & Mengersen, Kerrie (2007) Ergodic Averages for Monotone Functions Using Upper and Lower Dominating Processes. Bayesian Analysis, 2(4), pp. 761-782.
Moller, Jesper, Pettitt, Anthony N., Reeves, Robert W., & Berthelsen, Kasper K. (2006) An efficient Markov chain Monte Carlo method for distributions with intractable normalising constants. Biometrika, 93(2), pp. 451-458.
Molloy, Timothy L. & Ford, Jason J. (2015) Towards strongly consistent online HMM parameter estimation using one-step Kerridge inaccuracy. Signal Processing, 115, pp. 79-93.
Pitchforth, Jegar & Mengersen, Kerrie (2013) A proposed validation framework for expert elicited Bayesian Networks. Expert Systems with Applications, 40(1), pp. 162-167.
Wood, Ian, Visscher, Peter, & Mengersen, Kerrie (2007) Classification Based upon Gene Expression Data: Bias and Precision of Error Rates. Bioinformatics, 23(11), pp. 1363-1370.
Wraith, D. & Mengersen, K. (2008) A Bayesian approach to assess interaction between known risk factors: The risk of lung cancer from exposure to asbestos and smoking. Statistical Methods in Medical Research, 17(2), pp. 171-189.
Yu, Zu-Guo, Anh, Vo V., & Lau, Ka-Sing (2004) Chaos Game Representation of Protein Sequences based on the detailed HP model and their multifractal and correlational analysis. Journal of Theoretical Biology, 226(3), pp. 341-348.
Burrell, Daniel L., Low-Choy, Sama, & Mengersen, Kerrie (2009) How reliable is my reliability model. In Anderssen, R, Braddock, R, & Newham, L (Eds.) Proceedings of the 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation, 13 - 17 July 2009, Australia, Queensland, Cairns.
Hainy, Markus, Drovandi, Christopher C., & McGree, James (2016) Likelihood-free extensions for Bayesian sequentially designed experiments. In Kunert, Joachim, Muller, Christine H., & Atkinson, Anthony C. (Eds.) Proceedings of the 11th International Workshop in Model-Oriented Design, Springer, Hamminkeln, Germany, pp. 153-161.
Low Choy, Samantha, Mengersen, Kerrie, Tong, Shilu, & Wraith, Darren (2005) Spatial and Temporal Modelling of Ross River Virus in Queensland. In Zerger, A & Argent, R (Eds.) MODSIM 2005 International Congress on Modelling and Simulation: Advances and Applications for Management and Decision Making, 12 December - 15 December 2005, Australia, Victoria, Melbourne.
McVinish, Ross S., Braslavsky, Julio H., & Mengersen, Kerrie L. (2007) A Bayesian-Decision Theoretic Approach to Model Error Modeling. In Preprints of the 14th IFAC Symposium on System Identification - SYSID-2006, 29-31 March 2006, Newcastle, Australia.
Molloy, Timothy L. & Ford, Jason J. (2013) Consistent HMM parameter estimation using Kerridge inaccuracy rates. In Australian Control Conference (AUCC 2013), 4-5 November 2013, Perth, Australia.
Nourbakhsh, Ghavameddin & Birtwhistle, David (2005) A Model representing failure probability density function using series of discrete exponential functions. In Negnevitsky, M (Ed.) AUPEC 2005 Australasian Universities Power Engineering Conference Proceedings Volume 1, 25 September - 28 September 2005, Australia, Tasmania, Hobart.
O'Leary, Rebecca, Mengersen, Kerrie, Murray, J, & Low-Choy, Sama (2009) Comparison of four expert elicitation methods : For Bayesian logistic regression and classification trees. In RD, Anderssen, RD, Braddock, & H, Newham (Eds.) Proceedings: 18th World IMACS / MODSIM Congress, 13-17 July 2009, Australia, Queensland, Cairns.
Skitmore, Martin & Thomas, Roy (1993) Percentage points of rootb1 [skewness statistic] for small normal samples.
An, Ziwen, Drovandi, Christopher C., & Nott, David J. (2016) Accelerating Bayesian synthetic likelihood with the graphical lasso. [Working Paper] (Unpublished)
Drovandi, Christopher C., Moores, Matthew T., & Boys, Richard J. (2015) Accelerating Pseudo-Marginal MCMC using Gaussian Processes. [Working Paper] (Unpublished)
Drovandi, Christopher C. & Tran, Minh-Ngoc (2016) Improving the efficiency of fully Bayesian optimal design of experiments using randomised quasi-Monte Carlo. [Working Paper] (Unpublished)
Ong, Victor M-H., Nott, David J., Tran, Minh-Ngoc, Sisson, Scott A., & Drovandi, Christopher C. (2016) Variational Bayes with Synthetic Likelihood. [Working Paper] (Unpublished)
Overstall, Antony M., McGree, James, & Drovandi, Christopher C. (2016) Fully Bayesian optimal design using the approximate coordinate exchange algorithm and normal-based approximations to posterior quantities. [Working Paper] (Unpublished)
Price, Leah F., Drovandi, Christopher C., Lee, Anthony, & Nott, David J. (2016) Bayesian synthetic likelihood. [Working Paper] (Unpublished)
Ruiz-Medina, Maria D., Anh, Vo V., & Angulo, Jose M. (2004) Random fields of variable order on multifractal domains. [Working Paper] (Unpublished)
South, Leah F., Drovandi, Christopher C., & Pettitt, Anthony N. (2016) Sequential Monte Carlo for static Bayesian models with independent MCMC proposals. [Working Paper] (Unpublished)
Xueou, Wang, Nott, David J., Drovandi, Christopher C., Mengersen, Kerrie, & Evans, Michael (2016) Using history matching for prior choice. [Working Paper] (Unpublished)