Browse By Person: Drovandi, Christopher
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Number of items: 17.
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) Likelihoodâfree 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., McGree, James, & Pettitt, Anthony N. (2013) Sequential Monte Carlo for Bayesian sequentially designed experiments for discrete data. Computational Statistics and Data Analysis, 57(1).
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39McGree, James, Drovandi, Christopher C., & Pettitt, Anthony N. (2012) A sequential Monte Carlo approach to the sequential design for discriminating between rival continuous data models. .
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33McGree, 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.
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83 2 2Drovandi, Christopher C., McGree, James, & Pettitt, Anthony N. (2012) A sequential Monte Carlo algorithm to incorporate model uncertainty in Bayesian sequential design. Journal of Computational and Graphical Statistics. (In Press)
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78 1McGree, 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.
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73 1 1Drovandi, Christopher C. & Pettitt, Anthony N. (2011) Estimation of parameters for macroparasite population evolution using approximate Bayesian computation. Biometrics, 67(1), pp. 225-233.
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13 11Drovandi, 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.
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54 5 3Drovandi, Christopher C. & Pettitt, Tony (2011) Likelihood-free Bayesian estimation of multivariate quantile distributions. Computational Statistics and Data Analysis, 55(9), pp. 2541-2556.
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3 3Drovandi, Christopher C. & Pettitt, Anthony N. (2011) Using approximate Bayesian computation to estimate transmission rates of nosocomial pathogens. Statistical Communications in Infectious Diseases, 3(1).
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31Drovandi, 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.
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2 2QUT Thesis
Drovandi, Christopher Colin (2012) Bayesian algorithms with applications. PhD thesis, Queensland University of Technology.
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39Other
Ryan, Elizabeth, Drovandi, Christopher C., Thompson, Helen, & Pettitt, Anthony N. (2013) Simulation-based high dimensional experimental design for nonlinear models. (Submitted (not yet accepted for publication))
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4Drovandi, Christopher C. & Pettitt, Anthony N. (2013) Exact and approximate Bayesian inference for low count time series models with intractable likelihoods. (Submitted (not yet accepted for publication))
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3Drovandi, Christopher C. & Pettitt, Anthony N. (2012) Bayesian experimental design for models with intractable likelihoods. (Submitted (not yet accepted for publication))
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78Drovandi, Christopher C., Pettitt, Anthony N., Henderson, Robert, & McCombe, Pamela A. (2012) Marginal reversible jump Markov chain Monte Carlo with application to motor unit number estimation. (Submitted (not yet accepted for publication))
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