| Informed proposals for local MCMC in discrete spaces G Zanella Journal of the American Statistical Association 115 (530), 852-865, 2020 | 91 | 2020 |
| 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 | 44* | 2016 |
| 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 | 36* | 2022 |
| Scalable importance tempering and Bayesian variable selection G Zanella, G Roberts Journal of the Royal Statistical Society: Series B (Methodological) 81 (3 …, 2019 | 35 | 2019 |
| Scalable inference for crossed random effects models O Papaspiliopoulos, GO Roberts, G Zanella Biometrika 107 (1), 25-40, 2020 | 24 | 2020 |
| Scalable and accurate variational Bayes for high-dimensional binary regression models A Fasano, D Durante, G Zanella Biometrika 109 (4), 901-919, 2022 | 22 | 2022 |
| Random partition models for microclustering tasks B Betancourt, G Zanella, RC Steorts Journal of the American Statistical Association 117 (539), 1215-1227, 2022 | 17 | 2022 |
| Multilevel linear models, Gibbs samplers and multigrid decompositions G Zanella, G Roberts Bayesian Analysis, 2021 | 15* | 2021 |
| A Dirichlet form approach to MCMC optimal scaling G Zanella, M Bédard, WS Kendall Stochastic Processes and their Applications 127 (12), 4053-4082, 2017 | 11 | 2017 |
| Clustering consistency with Dirichlet process mixtures F Ascolani, A Lijoi, G Rebaudo, G Zanella Biometrika 110 (2), 551-558, 2023 | 10 | 2023 |
| Optimal design of the Barker proposal and other locally-balanced Metropolis-Hastings algorithms J Vogrinc, S Livingstone, G Zanella arXiv preprint arXiv:2201.01123, 2022 | 6 | 2022 |
| Random partition models and complementary clustering of Anglo-Saxon place-names G Zanella | 6 | 2015 |
| A fresh take on ‘Barker dynamics’ for MCMC M Hird, S Livingstone, G Zanella Monte Carlo and Quasi-Monte Carlo Methods: MCQMC 2020, Oxford, United …, 2022 | 4 | 2022 |
| Scalable computation for Bayesian hierarchical models O Papaspiliopoulos, T Stumpf-Fétizon, G Zanella arXiv preprint arXiv:2103.10875, 2021 | 4 | 2021 |
| Unbiased approximations of products of expectations A Lee, S Tiberi, G Zanella Biometrika 106 (3), 708-715, 2019 | 4 | 2019 |
| A note on MCMC for nested multilevel regression models via belief propagation O Papaspiliopoulos, G Zanella arXiv preprint arXiv:1704.06064, 2017 | 4 | 2017 |
| Branching-stable point processes G Zanella, S Zuyev | 4 | 2015 |
| Role of preoperative serum creatinine and estimated glomerular filtration rate values in asymptomatic patients undergoing carotid endarterectomy. D Bissacco, V Catanese, A Fossati, S Salvati, G Zanella, M Carmo, ... The Journal of Cardiovascular Surgery 59 (3), 412-418, 2015 | 3 | 2015 |
| 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, 1-64, 2023 | 2 | 2023 |
| Improving multiple-try Metropolis with local balancing P Gagnon, F Maire, G Zanella arXiv preprint arXiv:2211.11613, 2022 | 2 | 2022 |
Gareth RobertsProfessor of Statistics, University of WarwickVerified email at warwick.ac.uk
