Browse By Person: Drovandi, Christopher

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Number of items: 46.

Book Chapter

McGree, James, Drovandi, Christopher C., & Pettitt, Anthony N. (2012) Implementing adaptive dose finding studies using sequential Monte Carlo. In Alston, Clair, Mengersen, Kerrie, & Pettitt, Anthony N. (Eds.) Case Studies in Bayesian Statistical Modelling and Analysis. Wiley, United Kingdom, pp. 361-373.

Drovandi, Christopher C. & Pettitt, Anthony N. (2012) Likelihood‐free inference for transmission rates of nosocomial pathogens. In Case Studies in Bayesian Statistical Modelling and Analysis. Wiley, United Kingdom, pp. 374-387.

Journal Article

Drovandi, Christopher C., Cusimano, Nicole, Psaltis, Steven, Lawson, Brodie A. J., Pettitt, Anthony N., Burrage, Pamela, et al. (2016) Sampling methods for exploring between-subject variability in cardiac electrophysiology experiments. Journal of the Royal Society Interface, 13(121), Article no. 20160214.
Number of full-text downloads 42

Mengersen, Kerrie, Drovandi, Christopher C., Robert, Christian P., Pyne, David B., & Gore, Christopher G. (2016) Bayesian estimation of small effects in exercise and sports science. PLoS ONE, 11(4), Article Number-e0147311.
Number of full-text downloads 11

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.
Number of full-text downloads 74

Drovandi, Christopher C., Pettitt, Anthony N., & McCutchan, Roy A. (2016) Exact and approximate Bayesian inference for low count time series models with intractable likelihoods. Bayesian Analysis, 11(2), pp. 325-352.
Number of full-text downloads 465

Ryan, Elizabeth G., Drovandi, Christopher C., McGree, James M., & Pettitt, Anthony N. (2016) A review of modern computational algorithms for Bayesian optimal design. International Statistical Review, 84(1), pp. 128-154.

Vo, Brenda N., Drovandi, Christopher C., Pettitt, Anthony N., & Pettet, Graeme J. (2015) Melanoma cell colony expansion parameters revealed by approximate Bayesian computation. PLOS Computational Biology, 11(12), e1004635.
Number of full-text downloads 83

Vo, Brenda N., Drovandi, Christopher C., Pettitt, Anthony N., & Simpson, Matthew J. (2015) Quantifying uncertainty in parameter estimates for stochastic models of collective cell spreading using approximate Bayesian computation. Mathematical Biosciences, 263, pp. 133-142.
Number of full-text downloads 6
Number of citations in Scopus 3
Number of citations in Web of Science® 3

Drovandi, Christopher C., Pettitt, Anthony N., & Lee, Anthony (2015) Bayesian indirect inference using a parametric auxiliary model. Statistical Science, 30(1), pp. 72-95.
Number of full-text downloads 431
Number of citations in Scopus 1

Ryan, Elizabeth G., Drovandi, Christopher C., & Pettitt, Anthony N. (2015) Fully Bayesian experimental design for pharmacokinetic studies. Entropy, 17(3), pp. 1063-1089.
Number of full-text downloads 30
Number of citations in Web of Science® 1

Lee, Xing Ju, Drovandi, Christopher C., & Pettitt, Anthony N. (2015) Model choice problems using approximate Bayesian computation with applications to pathogen transmission data sets. Biometrics, 71(1), pp. 198-207.
Number of full-text downloads 15
Number of citations in Scopus 1
Number of citations in Web of Science® 2

Ryan, Caitriona M., Drovandi, Christopher C., & Pettitt, Anthony N. (2015) Optimal Bayesian experimental design for models with intractable likelihoods using indirect inference applied to biological process models. Bayesian Analysis. (In Press)
Number of full-text downloads 75

Moores, Matthew T., Drovandi, Christopher C., Mengersen, Kerrie, & Robert, Christian P. (2015) Pre-processing for approximate Bayesian computation in image analysis. Statistics and Computing, 25(1), pp. 23-33.
Number of full-text downloads 14
Number of citations in Scopus 1
Number of citations in Web of Science® 1

Ryan, Elizabeth, Drovandi, Christopher C., & Pettitt, Anthony N. (2015) Simulation-based fully Bayesian experimental design for mixed effects models. Computational Statistics and Data Analysis, 92, pp. 26-39.
Number of citations in Scopus 1

Ali, Hammad, Cameron, Ewan, Drovandi, Christopher C., McCaw, James M., Guy, Rebecca J., Middleton, Melanie, et al. (2015) A new approach to estimating trends in chlamydia incidence. Sexually Transmitted Infections, 91, pp. 513-519.
Number of full-text downloads 16
Number of citations in Scopus 1

McGree, James, Drovandi, Christopher C., White, Gentry, & Pettitt, Anthony N. (2015) A pseudo-marginal sequential Monte Carlo algorithm for random effects models in Bayesian sequential design. Statistics and Computing. (In Press)

Ryan, Elizabeth, Drovandi, Christopher C., Thompson, Helen, & Pettitt, Anthony N. (2014) Towards Bayesian experimental design for nonlinear models that require a large number of sampling times. Computational Statistics and Data Analysis, 70, pp. 45-60.
Number of full-text downloads 30
Number of citations in Scopus 4
Number of citations in Web of Science® 4

Drovandi, Christopher C., Pettitt, Anthony N., Henderson, Robert D., & McCombe, Pamela A. (2014) Marginal reversible jump Markov chain Monte Carlo with application to motor unit number estimation. Computational Statistics & Data Analysis, 72, pp. 128-146.
Number of full-text downloads 36
Number of citations in Scopus 2
Number of citations in Web of Science® 1

Drovandi, Christopher C., McGree, James, & Pettitt, Anthony N. (2014) A sequential Monte Carlo algorithm to incorporate model uncertainty in Bayesian sequential design. Journal of Computational and Graphical Statistics, 23(1), pp. 3-24.
Number of full-text downloads 215
Number of citations in Scopus 2
Number of citations in Web of Science® 2

Drovandi, Christopher C. & Pettitt, Anthony N. (2013) Bayesian experimental design for models with intractable likelihoods. Biometrics, 69(4), pp. 937-948.
Number of full-text downloads 137
Number of citations in Scopus 10
Number of citations in Web of Science® 9

Drovandi, Christopher C., McGree, James, & Pettitt, Anthony N. (2013) Sequential Monte Carlo for Bayesian sequentially designed experiments for discrete data. Computational Statistics and Data Analysis, 57(1).
Number of full-text downloads 164
Number of citations in Scopus 10
Number of citations in Web of Science® 8

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.
Number of full-text downloads 167
Number of citations in Scopus 7
Number of citations in Web of Science® 6

McGree, J.M., Drovandi, C.C., & Pettitt, A.N. (2012) A sequential Monte Carlo approach to design for population pharmacokinetics studies. Journal of Pharmacokinetics and Pharmacodynamics, 39(5), pp. 519-526.
Number of full-text downloads 168
Number of citations in Scopus 2
Number of citations in Web of Science® 2

Drovandi, Christopher C. & Pettitt, Anthony N. (2011) Estimation of parameters for macroparasite population evolution using approximate Bayesian computation. Biometrics, 67(1), pp. 225-233.
Number of citations in Scopus 48
Number of citations in Web of Science® 50

Drovandi, Christopher C., Pettitt, Anthony N., & Faddy, Malcolm J. (2011) Approximate Bayesian computation using indirect inference. Journal of the Royal Statistical Society, Series C (Applied Statistics), 60(3), pp. 317-337.
Number of full-text downloads 187
Number of citations in Scopus 24
Number of citations in Web of Science® 13

Drovandi, Christopher C. & Pettitt, Tony (2011) Likelihood-free Bayesian estimation of multivariate quantile distributions. Computational Statistics and Data Analysis, 55(9), pp. 2541-2556.
Number of citations in Scopus 14
Number of citations in Web of Science® 10

Drovandi, Christopher C. & Pettitt, Anthony N. (2011) Using approximate Bayesian computation to estimate transmission rates of nosocomial pathogens. Statistical Communications in Infectious Diseases, 3(1).
Number of full-text downloads 145

Drovandi, Christopher C. & Pettitt, Anthony N. (2008) Multivariate Markov Process Models for the transmission of methicillin-resistant Staphylococcus Aureus in a hospital ward. Biometrics, 64(3), pp. 851-859.
Number of citations in Scopus 11
Number of citations in Web of Science® 10

Conference Paper

Drovandi, Christopher C., McGree, James, & Pettitt, Anthony N. (2014) A sequential Monte Carlo framework for adaptive Bayesian model discrimination designs using mutual information. In Lanzarone, Ettore & Ieva, Francesca (Eds.) Springer Proceedings in Mathematics & Statistics : the Contribution of Young Researchers to Bayesian Statistics, Springer, Milan, Italy, pp. 19-22.
Number of full-text downloads 21

Pettitt, Anthony N., Drovandi, Christopher C., & Faddy, Malcolm (2010) Approximate Bayesian computation using auxiliary model based estimates. In Bowman, Adrian (Ed.) Proceedings of the 25th International Workshop on Statistical Modelling, University of Glasgow, Glasgow, pp. 433-438.
Number of full-text downloads 45

Whiten, Bill, McDonald, Barry, & Drovandi, Christopher C. (2010) Taxonomic analysis of marine phytoplankton. In Shephard, John, Stacey, Andrew, & Roberts, Anthony (Eds.) Proceedings of the 2010 Mathematics and Statistics in Industry Study Group, MISG-2010, Australian Mathematical Society, RMIT University, Melbourne, VIC, M119-M146.

QUT Thesis

Drovandi, Christopher Colin (2012) Bayesian algorithms with applications. PhD thesis, Queensland University of Technology.
Number of full-text downloads 243

Working Paper

Price, Leah F., Drovandi, Christopher C., Lee, Anthony, & Nott, David J. (2016) Bayesian synthetic likelihood. [Working Paper] (Unpublished)
Number of full-text downloads 128

Dehideniya, Mahasen Bandara, Drovandi, Christopher C., & McGree, James (2016) Efficient Bayesian design for discriminating between models with intractable likelihoods in epidemiology. [Working Paper] (Unpublished)
Number of full-text downloads 25

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)
Number of full-text downloads 11

Xueou, Wang, Nott, David J., Drovandi, Christopher C., Mengersen, Kerrie, & Evans, Michael (2016) Using history matching for prior choice. [Working Paper] (Unpublished)
Number of full-text downloads 16

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)
Number of full-text downloads 1

Vo, Brenda N., Drovandi, Christopher C., & Pettitt, Anthony N. (2015) Bayesian parametric bootstrap for models with intractable likelihoods. [Working Paper] (Unpublished)
Number of full-text downloads 100
Number of citations in Web of Science® 8

Drovandi, Christopher C. (2015) ABC and Indirect Inference. [Working Paper] (Unpublished)

Drovandi, Christopher C., Moores, Matthew T., & Boys, Richard J. (2015) Accelerating Pseudo-Marginal MCMC using Gaussian Processes. [Working Paper] (Unpublished)
Number of full-text downloads 48

Nott, David, Drovandi, Christopher C., Mengersen, Kerrie, & Evans, Michael (2015) Approximation of Bayesian predictive p-values with regression ABC. [Working Paper] (Unpublished)
Number of full-text downloads 84

Drovandi, Christopher C., Holmes, Christopher, McGree, James, Mengersen, Kerrie, Richardson, Sylvia, & Ryan, Elizabeth (2015) A principled experimental design approach to Big Data analysis. [Working Paper] (Unpublished)
Number of full-text downloads 159

Drovandi, Christopher C. (2014) Pseudo-marginal algorithms with multiple CPUs. [Working Paper] (Unpublished)
Number of full-text downloads 161

McGree, James, Drovandi, Christopher C., & Pettitt, Anthony N. (2012) A sequential Monte Carlo approach to the sequential design for discriminating between rival continuous data models. [Working Paper] (Unpublished)
Number of full-text downloads 90

Other

Drovandi, Christopher C. & Pettitt, Anthony N. (2012) Discussion of : constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation. Journal of the Royal Statistical Society, Series B : Statistical Methodology.
Number of full-text downloads 69
Number of citations in Scopus 104
Number of citations in Web of Science® 73

This list was generated on Sat Aug 20 17:56:43 2016 AEST.