Chris Sherlock

11 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0002-2429-3157

Lancaster University

Publications

• Scalable couplings for the random walk Metropolis algorithm — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2025
• Fast return-level estimates for flood insurance via an improved Bennett inequality for random variables with differing upper bounds — The Annals of Applied Statistics 2025
• Tamás P. Papp, Paul Fearnhead, and Chris Sherlock’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’ — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2024
• Hug and hop: a discrete-time, nonreversible Markov chain Monte Carlo algorithm — Biometrika 2023
• A discrete bouncy particle sampler — Biometrika 2022
• Efficiency of delayed-acceptance random walk Metropolis algorithms — The Annals of Statistics 2021
• Pseudo-marginal Metropolis–Hastings sampling using averages of unbiased estimators — Biometrika 2017
• Particle Metropolis-adjusted Langevin algorithms — Biometrika 2016
• On the efficiency of pseudo-marginal random walk Metropolis algorithms — The Annals of Statistics 2015
• An exact Gibbs sampler for the Markov-modulated Poisson process — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2006
• Metropolis–Hastings with Scalable Subsampling — Journal of the American Statistical Association