Chris Sherlock

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Andrew GolightlyAssociate Professor, Durham UniversityVerified email at durham.ac.uk
Paul FearnheadProfessor of Statistics; Lancaster UniversityVerified email at lancs.ac.uk
Gareth RobertsProfessor of Statistics, University of WarwickVerified email at warwick.ac.uk
Alexandre ThieryAssociate Professor, National University of Singapore (NUS)Verified email at nus.edu.sg
Daniel A HendersonNewcastle University, UKVerified email at ncl.ac.uk
Tatiana XifaraVisiting Assistant Professor, University of California Santa CruzVerified email at ams.ucsc.edu
Richard BoysProfessor of Applied Statistics, Newcastle University, UKVerified email at ncl.ac.uk
Christopher NemethProfessor of Statistics, Lancaster UniversityVerified email at lancaster.ac.uk
M BegonLiverpool OR LeedsVerified email at liv.ac.uk
Jeffrey S. RosenthalProfessor of Statistics, University of TorontoVerified email at math.toronto.edu
Anthony LeeSchool of Mathematics, University of BristolVerified email at bristol.ac.uk
Mark GirolamiUniversity of CambridgeVerified email at cam.ac.uk
Samuel LivingstoneAssociate professor in mathematical statistics, University College LondonVerified email at ucl.ac.uk
Ross ToweShellVerified email at shell.com
Rob LambJBA TrustVerified email at jbatrust.org
Nigel FrenchDistinguished Professor of Infectious Disease Epidemiology and Public Health, Massey University.Verified email at massey.ac.nz
Malcolm BennettProfessor of Plant Science, School of Biosciences, University of NottinghamVerified email at nottingham.ac.uk
Charlie LewisProfessor of Family and Developmental Psychology, Lancaster UniversityVerified email at lancaster.ac.uk
Colin S GillespieSenior Statistics Lecturer, Newcastle UniversityVerified email at newcastle.ac.uk
Ruth CoxUniversity of Prince Edward IslandVerified email at upei.ca

Chris Sherlock

Lancaster University

Verified email at lancaster.ac.uk - Homepage

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On the efficiency of pseudo-marginal random walk Metropolis algorithms C Sherlock, AH Thiery, GO Roberts, JS Rosenthal	196	2015
Langevin diffusions and the Metropolis-adjusted Langevin algorithm T Xifara, C Sherlock, S Livingstone, S Byrne, M Girolami Statistics & Probability Letters 91, 14-19, 2014	127	2014
The random walk Metropolis: linking theory and practice through a case study C Sherlock, P Fearnhead, GO Roberts	124	2010
Inference for reaction networks using the linear noise approximation P Fearnhead, V Giagos, C Sherlock Biometrics 70 (2), 457-466, 2014	103	2014
An exact Gibbs sampler for the Markov‐modulated Poisson process P Fearnhead, C Sherlock Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2006	96	2006
Optimal scaling of the random walk Metropolis on elliptically symmetric unimodal targets C Sherlock, G Roberts	92	2009
Delayed acceptance particle MCMC for exact inference in stochastic kinetic models A Golightly, DA Henderson, C Sherlock Statistics and Computing 25 (5), 1039-1055, 2015	91*	2015
Adaptive, delayed-acceptance MCMC for targets with expensive likelihoods C Sherlock, A Golightly, DA Henderson Journal of Computational and Graphical Statistics 26 (2), 434-444, 2017	51	2017
Merging MCMC subposteriors through Gaussian-process approximations C Nemeth, C Sherlock	45	2018
Improved bridge constructs for stochastic differential equations GA Whitaker, A Golightly, RJ Boys, C Sherlock Statistics and Computing 27, 885-900, 2017	41	2017
The prevalence of antimicrobial‐resistant Escherichia coli in sympatric wild rodents varies by season and host NJ Williams, C Sherlock, TR Jones, HE Clough, SE Telfer, M Begon, ... Journal of applied microbiology 110 (4), 962-970, 2011	41	2011
Particle metropolis-adjusted Langevin algorithms C Nemeth, C Sherlock, P Fearnhead Biometrika 103 (3), 701-717, 2016	37	2016
A coupled hidden Markov model for disease interactions C Sherlock, T Xifara, S Telfer, M Begon Journal of the Royal Statistical Society. Series C, Applied Statistics 62 (4 …, 2013	35	2013
Impaired performance on advanced Theory of Mind tasks in children with epilepsy is related to poor communication and increased attention problems J Lunn, C Lewis, C Sherlock Epilepsy & Behavior 43, 109-116, 2015	34	2015
Pseudo-marginal Metropolis–Hastings sampling using averages of unbiased estimators C Sherlock, AH Thiery, A Lee Biometrika 104 (3), 727-734, 2017	29	2017
Bayesian inference for diffusion-driven mixed-effects models GA Whitaker, A Golightly, RJ Boys, C Sherlock	29	2017
An introduction to particle filtering L Turner, C Sherlock Lancaster University, Lancaster, 2013	24	2013
A discrete bouncy particle sampler C Sherlock, AH Thiery Biometrika 109 (2), 335-349, 2022	22	2022
Methodology for inference on the Markov modulated Poisson process and theory for optimal scaling of the random walk Metropolis C Sherlock PQDT-UK & Ireland, 2006	22	2006
Bayesian Inference for Hybrid Discrete-Continuous Stochastic Kinetic Models C Sherlock, A Golightly, C Gillespie	22*

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