| Informed proposals for local MCMC in discrete spaces G Zanella Journal of the American Statistical Association 115 (530), 852-865, 2020 | 149 | 2020 |
| The Barker proposal: combining robustness and efficiency in gradient-based MCMC S Livingstone, G Zanella Journal of the Royal Statistical Society: Series B (Methodological), 2022 | 69* | 2022 |
| Flexible models for microclustering with application to entity resolution G Zanella, B Betancourt, H Wallach, J Miller, A Zaidi, RC Steorts Proceedings of the 30th International Conference on Neural Information …, 2016 | 56* | 2016 |
| Scalable importance tempering and Bayesian variable selection G Zanella, G Roberts Journal of the Royal Statistical Society: Series B (Methodological) 81 (3 …, 2019 | 50 | 2019 |
| Scalable inference for crossed random effects models O Papaspiliopoulos, GO Roberts, G Zanella Biometrika 107 (1), 25-40, 2020 | 43 | 2020 |
| Clustering consistency with Dirichlet process mixtures F Ascolani, A Lijoi, G Rebaudo, G Zanella Biometrika 110 (2), 551-558, 2023 | 40 | 2023 |
| Scalable and accurate variational Bayes for high-dimensional binary regression models A Fasano, D Durante, G Zanella Biometrika 109 (4), 901-919, 2022 | 33 | 2022 |
| Random partition models for microclustering tasks B Betancourt, G Zanella, RC Steorts Journal of the American Statistical Association 117 (539), 1215-1227, 2022 | 33 | 2022 |
| Multilevel linear models, Gibbs samplers and multigrid decompositions G Zanella, G Roberts Bayesian Analysis, 2021 | 23* | 2021 |
| Bayesian conjugacy in probit, tobit, multinomial probit and extensions: a review and new results N Anceschi, A Fasano, D Durante, G Zanella Journal of the American Statistical Association 118 (542), 1451-1469, 2023 | 18 | 2023 |
| Scalable Bayesian computation for crossed and nested hierarchical models O Papaspiliopoulos, T Stumpf-Fétizon, G Zanella arXiv preprint arXiv:2103.10875, 2021 | 16 | 2021 |
| Optimal design of the Barker proposal and other locally balanced Metropolis–Hastings algorithms J Vogrinc, S Livingstone, G Zanella Biometrika 110 (3), 579-595, 2023 | 15 | 2023 |
| Robust leave-one-out cross-validation for high-dimensional Bayesian models LA Silva, G Zanella Journal of the American Statistical Association 119 (547), 2369-2381, 2024 | 14 | 2024 |
| A Dirichlet form approach to MCMC optimal scaling G Zanella, M Bédard, WS Kendall Stochastic Processes and their Applications 127 (12), 4053-4082, 2017 | 13 | 2017 |
| A fresh take on ‘Barker dynamics’ for MCMC M Hird, S Livingstone, G Zanella International Conference on Monte Carlo and Quasi-Monte Carlo Methods in …, 2020 | 9 | 2020 |
| Unbiased approximations of products of expectations A Lee, S Tiberi, G Zanella Biometrika 106 (3), 708-715, 2019 | 8 | 2019 |
| Improving multiple-try Metropolis with local balancing P Gagnon, F Maire, G Zanella Journal of Machine Learning Research 24 (248), 1-59, 2023 | 7 | 2023 |
| A note on MCMC for nested multilevel regression models via belief propagation O Papaspiliopoulos, G Zanella arXiv preprint arXiv:1704.06064, 2017 | 7 | 2017 |
| Random partition models and complementary clustering of Anglo-Saxon place-names G Zanella | 6 | 2015 |
| Scalability of Metropolis-within-Gibbs schemes for high-dimensional Bayesian models F Ascolani, GO Roberts, G Zanella arXiv preprint arXiv:2403.09416, 2024 | 5 | 2024 |
Gareth RobertsProfessor of Statistics, University of WarwickEmail verificata su warwick.ac.uk