2026 Gareth O. Roberts: Mathematics Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Mathematics	70	268	226	16	13	250	30013

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Mathematics

268

226

250

30013

Research.com Recognitions

2013 - Fellow of the Royal Society, United Kingdom

Overview

Gareth O. Roberts is affiliated with the University of Warwick in the United Kingdom. Their research spans across the disciplines of mathematics and computer science, with a particular focus on statistics and probability as well as artificial intelligence. The work also extends into specialized areas such as mathematical physics, epidemiology, and finance.

The primary topics of their research include:

Markov Chains and Monte Carlo Methods
Bayesian Methods and Mixture Models
Statistical Methods and Inference
Statistical Methods and Bayesian Inference
Gaussian Processes and Bayesian Inference
Stochastic processes and statistical mechanics
COVID-19 epidemiological studies

Their publication record shows consistent contributions to several academic venues, most frequently to arXiv (Cornell University), Journal of the Royal Statistical Society Series B (Statistical Methodology), The Annals of Applied Probability, Methodology And Computing In Applied Probability, and Bernoulli.

Notable recent papers include:

Optimal scaling of random-walk metropolis algorithms on general target distributions, 2020, Stochastic Processes and their Applications
High-dimensional scaling limits of piecewise deterministic sampling algorithms, 2022, The Annals of Applied Probability
Dimension-Free Mixing for High-Dimensional Bayesian Variable Selection, 2022, Journal of the Royal Statistical Society Series B (Statistical Methodology)
Efficient real-time monitoring of an emerging influenza pandemic: How feasible?, 2020, The Annals of Applied Statistics
Regeneration-enriched Markov processes with application to Monte Carlo, 2021, The Annals of Applied Probability

Their frequent collaborators include Krzysztof Łatuszyński, Murray Pollock, Jeffrey S. Rosenthal, Dootika Vats, and Joris Bierkens.

Gareth O. Roberts was awarded the title of Fellow of the Royal Society, United Kingdom, in 2013.

Best Publications

Bayesian Computation Via the Gibbs Sampler and Related Markov Chain Monte Carlo Methods

A. F. M. Smith;G. O. Roberts

2535
Citations
Weak convergence and optimal scaling of random walk Metropolis algorithms

G. O. Roberts;A. Gelman;W. R. Gilks

2288
Citations
Optimal scaling for various Metropolis-Hastings algorithms

Gareth O. Roberts;Jeffrey S. Rosenthal

1545
Citations
Examples of Adaptive MCMC

Gareth O. Roberts;Jeffrey S. Rosenthal

1306
Citations
Exponential convergence of Langevin distributions and their discrete approximations

Gareth O. Roberts;Richard L. Tweedie

1271
Citations
The pseudo-marginal approach for efficient Monte Carlo computations

Christophe Andrieu;Gareth O. Roberts

1021
Citations
General state space Markov chains and MCMC algorithms

Gareth O. Roberts;Jeffrey S. Rosenthal

991
Citations
Optimal scaling of discrete approximations to Langevin diffusions

Gareth O. Roberts;Jeffrey S. Rosenthal

786
Citations
MCMC Methods for Functions: Modifying Old Algorithms to Make Them Faster

Simon L. Cotter;Gareth O. Roberts;A. M. Stuart;David White

723
Citations
Updating Schemes, Correlation Structure, Blocking and Parameterization for the Gibbs Sampler

G. O. Roberts;S. K. Sahu

603
Citations
Networks and the epidemiology of infectious disease.

Leon Danon;Ashley P. Ford;Thomas A. House;Chris P. Jewell

555
Citations
Geometric convergence and central limit theorems for multidimensional Hastings and Metropolis algorithms

G. O. Roberts;R. L. Tweedie

551
Citations
Simple conditions for the convergence of the Gibbs sampler and Metropolis-Hastings algorithms

G.O. Roberts;A.F.M. Smith

539
Citations
COUPLING AND ERGODICITY OF ADAPTIVE MARKOV CHAIN MONTE CARLO ALGORITHMS

Gareth O. Roberts;Jeffrey S. Rosenthal

533
Citations
Convergence assessment techniques for Markov chain Monte Carlo

Stephen P. Brooks;Gareth O. Roberts

487
Citations
Bayesian inference for partially observed stochastic epidemics

P. D. O’Neill;G. O. Roberts

479
Citations
Exact and computationally efficient likelihood-based estimation for discretely observed diffusion processes (with discussion)

Alexandros Beskos;Omiros Papaspiliopoulos;Gareth O. Roberts;Paul Fearnhead

477
Citations
Retrospective Markov chain Monte Carlo methods for Dirichlet process hierarchical models

Omiros Papaspiliopoulos;Gareth O. Roberts

467
Citations
Efficient construction of reversible jump Markov chain Monte Carlo proposal distributions

S. P. Brooks;P. Giudici;G. O. Roberts

433
Citations
Link analysis ranking: algorithms, theory, and experiments

Allan Borodin;Gareth O. Roberts;Jeffrey S. Rosenthal;Panayiotis Tsaparas

432
Citations

Frequent Co-Authors

Jeffrey S. Rosenthal University of Toronto

Andrew M. Stuart California Institute of Technology

Paul Fearnhead Lancaster University

Walter R. Gilks University of Leeds

Richard L. Tweedie University of Minnesota

Nicholas G. Polson University of Chicago

Jesper Møller Aalborg University

Allan Borodin University of Toronto

Christian Franzke Universität Hamburg

Richard Pebody Public Health England

External Links

Personal website of Gareth O. Roberts Google Scholar page

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