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
Inference for reaction networks using the linear noise approximation
P Fearnhead, V Giagos, C Sherlock
Biometrics 70 (2), 457-466, 2014
Optimal scaling of the random walk Metropolis on elliptically symmetric unimodal targets
C Sherlock, G Roberts
Bernoulli 15 (3), 774-798, 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
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
Improved bridge constructs for stochastic differential equations
GA Whitaker, A Golightly, RJ Boys, C Sherlock
Statistics and Computing 27 (4), 885-900, 2017
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
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
Merging MCMC subposteriors through Gaussian-process approximations
C Nemeth, C Sherlock
Bayesian Analysis 13 (2), 507-530, 2018
Pseudo-marginal Metropolis–Hastings sampling using averages of unbiased estimators
C Sherlock, AH Thiery, A Lee
Biometrika 104 (3), 727-734, 2017
An introduction to particle filtering
L Turner, C Sherlock
Lancaster University, Lancaster, 2013
Particle metropolis-adjusted Langevin algorithms
C Nemeth, C Sherlock, P Fearnhead
Biometrika 103 (3), 701-717, 2016
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
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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