Christopher Drovandi

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Anthony PettittEmeritus Professor of Statistics, Queensland University of TechnologyVerified email at qut.edu.au
Kerrie MengersenQueensland University of TechnologyVerified email at qut.edu.au
James McGreeQueensland University of TechnologyVerified email at qut.edu.au
David NottAssociate Professor of Statistics, National University of SingaporeVerified email at nus.edu.sg
Elizabeth RyanMonash UniversityVerified email at monash.edu
David Tyler FrazierMonash University, Department of Econometrics and Business StatisticsVerified email at monash.edu
Leah SouthQueensland University of TechnologyVerified email at qut.edu.au
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
Anthony LeeSchool of Mathematics, University of BristolVerified email at bristol.ac.uk
Scott SissonProfessor of Statistics & Data Science, University of New South WalesVerified email at unsw.edu.au
Antonietta MiraProfessore di Statistica, Università della Svizzera italiana, LuganoVerified email at usi.ch
Matthew J SimpsonQueensland University of TechnologyVerified email at qut.edu.au
robert kohnProfessor of Economics University of New South WalesVerified email at unsw.edu.au
pamela burrageQueensland University of TechnologyVerified email at qut.edu.au
Ian B. StewartProfessor of Exercise Physiology, Queensland University of TechnologyVerified email at qut.edu.au
Blanca RodriguezUniversity of OxfordVerified email at cs.ox.ac.uk
Minh-Ngoc TranAssociate Professor, University of SydneyVerified email at sydney.edu.au
David WarneLecturer in Statistics, School of Mathematical Sciences, Queensland University of TechnologyVerified email at qut.edu.au
Christian RobertUniversité Paris Dauphine, PSL & University of WarwickVerified email at ceremade.dauphine.fr

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


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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	271	2016
Estimation of parameters for macroparasite population evolution using approximate Bayesian computation CC Drovandi, AN Pettitt Biometrics 67 (1), 225-233, 2011	249	2011
Bayesian synthetic likelihood LF Price, CC Drovandi, A Lee, DJ Nott Journal of Computational and Graphical Statistics 27 (1), 1-11, 2018	197	2018
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	145	2019
Likelihood-free Bayesian estimation of multivariate quantile distributions CC Drovandi, AN Pettitt Computational Statistics & Data Analysis 55 (9), 2541-2556, 2011	118	2011
Approximate Bayesian computation using indirect inference CC Drovandi, AN Pettitt, MJ Faddy Journal of the Royal Statistical Society Series C: Applied Statistics 60 (3 …, 2011	118	2011
Bayesian Indirect Inference using a Parametric Auxiliary Model CC Drovandi, AN Pettitt, A Lee Statistical Science 30 (1), 72-95, 2015	106	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	95	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	86	2016
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	71	2018
Variational Bayes with synthetic likelihood VMH Ong, DJ Nott, MN Tran, SA Sisson, CC Drovandi Statistics and Computing 28, 971-988, 2018	68	2018
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	65	2017
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	65	2013
Bayesian experimental design for models with intractable likelihoods CC Drovandi, AN Pettitt Biometrics 69 (4), 937-948, 2013	64	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	56	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	54	2015
Robust Bayesian synthetic likelihood via a semi-parametric approach Z An, DJ Nott, C Drovandi Statistics and Computing 30 (3), 543-557, 2020	46	2020
Fully Bayesian experimental design for pharmacokinetic studies EG Ryan, CC Drovandi, AN Pettitt Entropy 17 (3), 1063-1089, 2015	45	2015
Pre-processing for approximate Bayesian computation in image analysis MT Moores, CC Drovandi, K Mengersen, CP Robert Statistics and Computing 25, 23-33, 2015	42	2015
Robust approximate Bayesian inference with synthetic likelihood DT Frazier, C Drovandi Journal of Computational and Graphical Statistics 30 (4), 958-976, 2021	41	2021

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