Christopher Drovandi

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Anthony PettittProfessor of Statistics, Queensland University of TechnologyVerified email at qut.edu.au
James McGreeQueensland University of TechnologyVerified email at qut.edu.au
Kerrie MengersenQueensland University of TechnologyVerified email at qut.edu.au
David NottAssociate Professor of Statistics, National University of SingaporeVerified email at nus.edu.sg
Leah South (Price)Queensland University of TechnologyVerified email at qut.edu.au
Elizabeth RyanMonash UniversityVerified email at monash.edu
Brodie A. J. LawsonQUT Centre for Data Science, ARC Centre of Excellence for Plant Success in Nature and AgricultureVerified email at qut.edu.au
kevin burrageProfessor Computational Mathematics, Queensland University of TechnologyVerified email at qut.edu.au
Scott SissonProfessor of Statistics & Data Science, University of New South WalesVerified email at unsw.edu.au
Ziwen AnQueensland University of TechnologyVerified email at hdr.qut.edu.au
Anthony LeeSchool of Mathematics, University of BristolVerified email at bristol.ac.uk
Blanca RodriguezUniversity of OxfordVerified email at cs.ox.ac.uk
pamela burrageQueensland University of TechnologyVerified email at qut.edu.au
David Tyler FrazierMonash University, Department of Econometrics and Business StatisticsVerified email at monash.edu
Antonietta MiraProfessore di Statistica, Università della Svizzera italiana, LuganoVerified email at usi.ch
Christian RobertUniversité Paris Dauphine, PSL & University of WarwickVerified email at ceremade.dauphine.fr
Matthew J SimpsonSchool of Mathematical Sciences, Queensland University of TechnologyVerified email at qut.edu.au
M. Julian CaleyVerified email at qut.edu.au
Minh-Ngoc TranAssociate Professor, University of SydneyVerified email at sydney.edu.au
Gentry WhiteQueensland University of TechnologyVerified email at qut.edu.au

Christopher Drovandi

Professor of Statistics, Queensland University of Technology

Verified email at qut.edu.au - Homepage

Bayesian Computation Likelihood-free Methods Bayesian Experimental Design Applications of Bayesian Statistics


Title Sort by citations Sort by year Sort by 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	227	2011
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	181	2016
Bayesian synthetic likelihood LF Price, CC Drovandi, A Lee, DJ Nott Journal of Computational and Graphical Statistics 27 (1), 1-11, 2018	138	2018
Approximate Bayesian computation using indirect inference CC Drovandi, AN Pettitt, MJ Faddy Journal of the Royal Statistical Society: Series C (Applied Statistics) 60 …, 2011	111	2011
Likelihood-free Bayesian estimation of multivariate quantile distributions CC Drovandi, AN Pettitt Computational Statistics & Data Analysis 55 (9), 2541-2556, 2011	100	2011
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	96	2019
Bayesian Indirect Inference using a Parametric Auxiliary Model CC Drovandi, AN Pettitt, A Lee Statistical Science 30 (1), 72-95, 2015	91	2015
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	82	2014
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	70	2016
Variational Bayes with synthetic likelihood VMH Ong, DJ Nott, MN Tran, SA Sisson, CC Drovandi Statistics and Computing 28 (4), 971-988, 2018	61	2018
Bayesian experimental design for models with intractable likelihoods CC Drovandi, AN Pettitt Biometrics 69 (4), 937-948, 2013	60	2013
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	56	2018
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	56	2013
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	48	2014
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	46	2015
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	45	2017
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	39	2015
Fully Bayesian experimental design for pharmacokinetic studies EG Ryan, CC Drovandi, AN Pettitt Entropy 17 (3), 1063-1089, 2015	37	2015
An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functions AM Overstall, JM McGree, CC Drovandi Statistics and Computing 28 (2), 343-358, 2018	33	2018
Robust Bayesian synthetic likelihood via a semi-parametric approach Z An, DJ Nott, C Drovandi Statistics and Computing 30 (3), 543-557, 2020	31	2020

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