| Piecewise deterministic Markov processes for continuous-time Monte Carlo P Fearnhead, J Bierkens, M Pollock, GO Roberts Statistical Science 33 (3), 386-412, 2018 | 115 | 2018 |
| On the exact and -strong simulation of (jump) diffusions M Pollock, AM Johansen, GO Roberts Bernoulli 22 (2), 794-856, 2016 | 60* | 2016 |
| Quasi‐stationary Monte Carlo and the ScaLE algorithm (with discussion) M Pollock, P Fearnhead, AM Johansen, GO Roberts Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2020 | 48* | 2020 |
| Monte Carlo Fusion H Dai, M Pollock, G Roberts Journal of Applied Probability 56 (1), 174-191, 2019 | 33 | 2019 |
| Regeneration-enriched Markov processes with application to Monte Carlo AQ Wang, M Pollock, GO Roberts, D Steinsaltz | 20 | 2021 |
| Some Monte Carlo Methods for Jump Diffusions M Pollock (PhD Thesis) University of Warwick., 2013 | 17 | 2013 |
| Bayesian Fusion: Scalable unification of distributed statistical analyses H Dai, M Pollock, GO Roberts Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023 | 8 | 2023 |
| Divide-and-conquer fusion RSY Chan, M Pollock, AM Johansen, GO Roberts Journal of Machine Learning Research 24 (193), 1-82, 2023 | 8 | 2023 |
| Simulating bridges using confluent diffusions PA Jenkins, M Pollock, GO Roberts, M Sørensen arXiv preprint arXiv:1903.10184, 2019 | 8 | 2019 |
| On the Exact Simulation of (Jump) Diffusion Bridges M Pollock Proceedings of the 2015 Winter Simulation Conference., 2015 | 8 | 2015 |
| Unbiased simulation of rare events in continuous time J Hodgson, AM Johansen, M Pollock Methodology and Computing in Applied Probability 24 (3), 2123-2148, 2022 | 3 | 2022 |
| The computational cost of blocking for sampling discretely observed diffusions M Mider, PA Jenkins, M Pollock, GO Roberts Methodology and Computing in Applied Probability 24 (4), 3007-3027, 2022 | 2 | 2022 |
| Flexible Bayesian inference for diffusion processes using splines PA Jenkins, M Pollock, GO Roberts arXiv preprint arXiv:2106.05820, 2021 | 1 | 2021 |
| Privacy Guarantees in Posterior Sampling under Contamination S Hu, L Aslett, H Dai, M Pollock, GO Roberts arXiv preprint arXiv:2403.07772, 2024 | | 2024 |
| Sampling using Adaptive Regenerative Processes H McKimm, AQ Wang, M Pollock, CP Robert, GO Roberts arXiv preprint arXiv:2210.09901, 2022 | | 2022 |
| Hierarchical Monte Carlo Fusion R Chan, M Pollock, G Roberts, P Dellaportas | | 2020 |
| Fusion without diffusions R Chan, M Pollock, G Roberts, H Dai | | 2020 |
| Unbiased local solutions of partial differential equations via the Feynman-Kac Identities J Carson, M Pollock, M Girolami arXiv preprint arXiv:1603.04196, 2016 | | 2016 |
| Discussion of "Sequential Quasi-Monte-Carlo Sampling" by M. Gerber and N. Chopin M Pollock, AM Johansen, K Łatuszyński, GO Roberts Journal of the Royal Statistical Society: Series B (Statistical Methodology)., 2015 | | 2015 |
| and Probability J BERESTYCKI, É BRUNET, Z SHI, NJ NEWTON, O LEPSKI, FE BENTH, ... | | |
Gareth RobertsProfessor of Statistics, University of WarwickVerified email at warwick.ac.uk
