Christopher Drovandi
Title
Cited by
Cited by
Year
Estimation of parameters for macroparasite population evolution using approximate Bayesian computation
CC Drovandi, AN Pettitt
Biometrics 67 (1), 225-233, 2011
1772011
A review of modern computational algorithms for Bayesian optimal design
EG Ryan, CC Drovandi, JM McGree, AN Pettitt
International Statistical Review 84 (1), 128-154, 2016
952016
Approximate Bayesian computation using indirect inference
CC Drovandi, AN Pettitt, MJ Faddy
Journal of the Royal Statistical Society: Series C (Applied Statistics) 60 …, 2011
872011
Bayesian synthetic likelihood
LF Price, CC Drovandi, A Lee, DJ Nott
Journal of Computational and Graphical Statistics 27 (1), 1-11, 2018
772018
Bayesian Indirect Inference using a Parametric Auxiliary Model
CC Drovandi, AN Pettitt, A Lee
Statistical Science 30 (1), 72-95, 2015
742015
Likelihood-free Bayesian estimation of multivariate quantile distributions
CC Drovandi, AN Pettitt
Computational Statistics & Data Analysis 55 (9), 2541-2556, 2011
702011
A sequential Monte Carlo algorithm to incorporate model uncertainty in Bayesian sequential design
CC Drovandi, JM McGree, AN Pettitt
Journal of Computational and Graphical Statistics 23 (1), 3-24, 2014
632014
Bayesian experimental design for models with intractable likelihoods
CC Drovandi, AN Pettitt
Biometrics 69 (4), 937-948, 2013
482013
Bayesian estimation of small effects in exercise and sports science
KL Mengersen, CC Drovandi, CP Robert, DB Pyne, CJ Gore
PloS one 11 (4), 2016
472016
Sequential Monte Carlo for Bayesian sequentially designed experiments for discrete data
CC Drovandi, JM McGree, AN Pettitt
Computational Statistics & Data Analysis 57 (1), 320-335, 2013
452013
Quantifying uncertainty in parameter estimates for stochastic models of collective cell spreading using approximate Bayesian computation
BN Vo, CC Drovandi, AN Pettitt, MJ Simpson
Mathematical biosciences 263, 133-142, 2015
442015
Variational Bayes with synthetic likelihood
VMH Ong, DJ Nott, MN Tran, SA Sisson, CC Drovandi
Statistics and Computing 28 (4), 971-988, 2018
382018
Towards Bayesian experimental design for nonlinear models that require a large number of sampling times
EG Ryan, CC Drovandi, MH Thompson, AN Pettitt
Computational Statistics & Data Analysis 70, 45-60, 2014
362014
Pre-processing for approximate Bayesian computation in image analysis
MT Moores, CC Drovandi, K Mengersen, CP Robert
Statistics and Computing 25 (1), 23-33, 2015
312015
Fully Bayesian experimental design for pharmacokinetic studies
EG Ryan, CC Drovandi, AN Pettitt
Entropy 17 (3), 1063-1089, 2015
282015
Unlocking data sets by calibrating populations of models to data density: a study in atrial electrophysiology
BAJ Lawson, CC Drovandi, N Cusimano, P Burrage, B Rodriguez, ...
Science advances 4 (1), e1701676, 2018
272018
Principles of experimental design for Big Data analysis
CC Drovandi, C Holmes, JM McGree, K Mengersen, S Richardson, ...
Statistical science: a review journal of the Institute of Mathematical …, 2017
26*2017
Water quality mediates resilience on the Great Barrier Reef
MA MacNeil, C Mellin, S Matthews, NH Wolff, TR McClanahan, M Devlin, ...
Nature ecology & evolution 3 (4), 620-627, 2019
242019
Melanoma cell colony expansion parameters revealed by approximate Bayesian computation
BN Vo, CC Drovandi, AN Pettitt, GJ Pettet
PLoS computational biology 11 (12), 2015
232015
Multivariate Markov Process Models for the Transmission of Methicillin‐Resistant Staphylococcus Aureus in a Hospital Ward
CC Drovandi, AN Pettitt
Biometrics 64 (3), 851-859, 2008
232008
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Articles 1–20