Christopher Drovandi
TitleCited byYear
Estimation of parameters for macroparasite population evolution using approximate Bayesian computation
CC Drovandi, AN Pettitt
Biometrics 67 (1), 225-233, 2011
1632011
Approximate Bayesian computation using indirect inference
CC Drovandi, AN Pettitt, MJ Faddy
Journal of the Royal Statistical Society: Series C (Applied Statistics) 60 …, 2011
822011
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
792016
Bayesian Indirect Inference using a Parametric Auxiliary Model
CC Drovandi, AN Pettitt, A Lee
Statistical Science 30 (1), 72-95, 2015
712015
Likelihood-free Bayesian estimation of multivariate quantile distributions
CC Drovandi, AN Pettitt
Computational Statistics & Data Analysis 55 (9), 2541-2556, 2011
612011
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
592014
Bayesian synthetic likelihood
LF Price, CC Drovandi, A Lee, DJ Nott
Journal of Computational and Graphical Statistics 27 (1), 1-11, 2018
562018
Bayesian experimental design for models with intractable likelihoods
CC Drovandi, AN Pettitt
Biometrics 69 (4), 937-948, 2013
462013
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
432013
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
352015
Variational Bayes with synthetic likelihood
VMH Ong, DJ Nott, MN Tran, SA Sisson, CC Drovandi
Statistics and Computing 28 (4), 971-988, 2018
342018
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
342014
Bayesian estimation of small effects in exercise and sports science
KL Mengersen, CC Drovandi, CP Robert, DB Pyne, CJ Gore
PloS one 11 (4), e0147311, 2016
332016
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
282015
Fully Bayesian experimental design for pharmacokinetic studies
E Ryan, C Drovandi, A Pettitt
Entropy 17 (3), 1063-1089, 2015
242015
Melanoma cell colony expansion parameters revealed by approximate Bayesian computation
BN Vo, CC Drovandi, AN Pettitt, GJ Pettet
PLoS computational biology 11 (12), e1004635, 2015
222015
Adaptive Bayesian compound designs for dose finding studies
JM McGree, CC Drovandi, MH Thompson, JA Eccleston, SB Duffull, ...
Journal of Statistical Planning and Inference, 2012
212012
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
212008
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
19*2017
Approximation of Bayesian Predictive -Values with Regression ABC
DJ Nott, CC Drovandi, K Mengersen, M Evans
Bayesian Analysis 13 (1), 59-83, 2018
182018
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Articles 1–20