On the efficiency of pseudo-marginal random walk Metropolis algorithms C Sherlock, AH Thiery, GO Roberts, JS Rosenthal | 221 | 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 | 158 | 2014 |
The random walk Metropolis: linking theory and practice through a case study C Sherlock, P Fearnhead, GO Roberts | 137 | 2010 |
Inference for reaction networks using the linear noise approximation P Fearnhead, V Giagos, C Sherlock Biometrics 70 (2), 457-466, 2014 | 121 | 2014 |
Optimal scaling of the random walk Metropolis on elliptically symmetric unimodal targets C Sherlock, G Roberts | 104 | 2009 |
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 | 103 | 2006 |
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 | 93 | 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 | 62 | 2017 |
Merging MCMC subposteriors through Gaussian-process approximations C Nemeth, C Sherlock | 58 | 2018 |
Improved bridge constructs for stochastic differential equations GA Whitaker, A Golightly, RJ Boys, C Sherlock Statistics and Computing 27, 885-900, 2017 | 44 | 2017 |
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 | 43 | 2013 |
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 | 39 | 2016 |
Pseudo-marginal Metropolis–Hastings sampling using averages of unbiased estimators C Sherlock, AH Thiery, A Lee Biometrika 104 (3), 727-734, 2017 | 37 | 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 | 35 | 2015 |
Bayesian inference for diffusion-driven mixed-effects models GA Whitaker, A Golightly, RJ Boys, C Sherlock | 32 | 2017 |
A discrete bouncy particle sampler C Sherlock, AH Thiery Biometrika 109 (2), 335-349, 2022 | 25 | 2022 |
An introduction to particle filtering L Turner, C Sherlock Lancaster University, Lancaster, 2013 | 24 | 2013 |
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 | 23 | 2006 |
Bayesian Inference for Hybrid Discrete-Continuous Stochastic Kinetic Models C Sherlock, A Golightly, C Gillespie | 23* | |