Chris Sherlock
Chris Sherlock
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On the efficiency of pseudo-marginal random walk Metropolis algorithms
C Sherlock, AH Thiery, GO Roberts, JS Rosenthal
The Annals of Statistics 43 (1), 238-275, 2015
The random walk Metropolis: linking theory and practice through a case study
C Sherlock, P Fearnhead, GO Roberts
Statistical Science 25 (2), 172-190, 2010
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
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
Optimal scaling of the random walk Metropolis on elliptically symmetric unimodal targets
C Sherlock, G Roberts
Bernoulli 15 (3), 774-798, 2009
Inference for reaction networks using the linear noise approximation
P Fearnhead, V Giagos, C Sherlock
Biometrics 70 (2), 457-466, 2014
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
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
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
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
Improved bridge constructs for stochastic differential equations
GA Whitaker, A Golightly, RJ Boys, C Sherlock
Statistics and Computing 27 (4), 885-900, 2017
Merging MCMC subposteriors through Gaussian-process approximations
C Nemeth, C Sherlock
Bayesian Analysis 13 (2), 507-530, 2018
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
Methodology for inference on the Markov modulated Poisson process and theory for optimal scaling of the random walk Metropolis
C Sherlock
Lancaster University, 2006
Pseudo-marginal Metropolis–Hastings sampling using averages of unbiased estimators
C Sherlock, AH Thiery, A Lee
Biometrika 104 (3), 727-734, 2017
Particle metropolis-adjusted Langevin algorithms
C Nemeth, C Sherlock, P Fearnhead
Biometrika 103 (3), 701-717, 2016
An introduction to particle filtering
L Turner, C Sherlock
Lancaster University, Lancaster, 2013
Bayesian inference for diffusion-driven mixed-effects models
GA Whitaker, A Golightly, RJ Boys, C Sherlock
Bayesian Analysis 12 (2), 435-463, 2017
Optimal scaling of the random walk Metropolis: general criteria for the 0.234 acceptance rule
C Sherlock
Journal of Applied Probability 50 (1), 1-15, 2013
Bayesian Inference for Hybrid Discrete-Continuous Stochastic Kinetic Models
C Sherlock, A Golightly, C Gillespie
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