Convergence assessment techniques for Markov chain Monte Carlo. - Stephen P. Brooks; Gareth O. Roberts (Stat. Comput., 1998)

On convergence of the EM algorithmand the Gibbs sampler. - Sujit K. Sahu; Gareth O. Roberts (Stat. Comput., 1999)

Finding authorities and hubs from link structures on the World Wide Web. - Allan Borodin; Gareth O. Roberts; Jeffrey S. Rosenthal; Panayiotis Tsaparas (WWW, 2001)

A New Method for Coupling Random Fields. - Laird A. Breyer; Gareth O. Roberts (LMS J. Comput. Math., 2002)

Link analysis ranking: algorithms, theory, and experiments. - Allan Borodin; Gareth O. Roberts; Jeffrey S. Rosenthal; Panayiotis Tsaparas (ACM Trans. Internet Techn., 2005)

Monte Carlo simulation of killed diffusions with a single barrier. - Bruno Casella; Gareth O. Roberts (VALUETOOLS, 2006)

Networks and the Epidemiology of Infectious Disease - Leon Danon; Ashley P. Ford; Thomas A. House; Chris P. Jewell; Matt J. Keeling; Gareth O. Roberts; Joshua V. Ross; Matthew C. Vernon (CoRR, 2010)

Perfect posterior simulation for mixture and hidden Markov models. - Kasper K. Berthelsen; Laird A. Breyer; Gareth O. Roberts (LMS J. Comput. Math., 2010)

Simulating events of unknown probabilities via reverse time martingales. - Krzysztof Latuszynski; Ioannis Kosmidis; Omiros Papaspiliopoulos; Gareth O. Roberts (Random Struct. Algorithms, 2011)

Towards optimal scaling of metropolis-coupled Markov chain Monte Carlo. - Yves F. Atchadé; Gareth O. Roberts; Jeffrey S. Rosenthal (Stat. Comput., 2011)

An adaptive approach to Langevin MCMC. - Tristan Marshall; Gareth O. Roberts (Stat. Comput., 2012)

Editorial foreword to special issue on Simulation of Stochastic Networks and related topics. - Jose H. Blanchet; Gareth O. Roberts (Queueing Syst. Theory Appl., 2013)

The strong weak convergence of the quasi-EA. - Stefano Peluchetti; Gareth O. Roberts; Bruno Casella (Queueing Syst. Theory Appl., 2013)

A dynamic model of bovine tuberculosis spread and control in Great Britain. - Ellen Brooks-Pollock; Gareth O. Roberts; Matt J. Keeling (Nat., 2014)

Systematic physics constrained parameter estimation of stochastic differential equations. - Daniel Peavoy; Christian L. E. Franzke; Gareth O. Roberts (Comput. Stat. Data Anal., 2015)

Complexity bounds for Markov chain Monte Carlo algorithms via diffusion limits. - Gareth O. Roberts; Jeffrey S. Rosenthal (J. Appl. Probab., 2016)

Stability of noisy Metropolis-Hastings. - Felipe J. Medina-Aguayo; Anthony Lee; Gareth O. Roberts (Stat. Comput., 2016)

Optimal scaling of the random walk Metropolis algorithm under L p mean differentiability. - Alain Durmus; Sylvain Le Corff; Eric Moulines; Gareth O. Roberts (J. Appl. Probab., 2017)

Erratum to: Stability of noisy Metropolis-Hastings. - Felipe J. Medina-Aguayo; Anthony Lee; Gareth O. Roberts (Stat. Comput., 2018)

Monte Carlo fusion. - Hongsheng Dai; Murray Pollock; Gareth O. Roberts (J. Appl. Probab., 2019)

Weight-preserving simulated tempering. - Nicholas G. Tawn; Gareth O. Roberts; Jeffrey S. Rosenthal (Stat. Comput., 2020)

Skew brownian motion and complexity of the alps algorithm. - Gareth O. Roberts; Jeffrey S. Rosenthal; Nicholas G. Tawn (J. Appl. Probab., 2022)

A note on the polynomial ergodicity of the one-dimensional Zig-Zag process. - Giorgos Vasdekis; Gareth O. Roberts (J. Appl. Probab., 2022)

Automatic Zig-Zag sampling in practice. - Alice Corbella; Simon E. F. Spencer; Gareth O. Roberts (Stat. Comput., 2022)

Divide-and-Conquer Fusion. - Ryan S. Y. Chan; Murray Pollock; Adam M. Johansen; Gareth O. Roberts (J. Mach. Learn. Res., 2023)

Almost sure convergence rates of adaptive increasingly rare Markov chain Monte Carlo. - Julian Hofstadler; Krzysztof Latuszynski; Gareth O. Roberts; Daniel Rudolf (CoRR, 2024)

Stochastic Gradient Piecewise Deterministic Monte Carlo Samplers. - Paul Fearnhead; Sebastiano Grazzi; Christopher Nemeth; Gareth O. Roberts (CoRR, 2024)

Differential privacy guarantees of Markov chain Monte Carlo algorithms. - Andrea Bertazzi; Tim Johnston; Gareth O. Roberts; Alain Durmus (CoRR, 2025)