| Distribution theory for hierarchical processes F Camerlenghi, A Lijoi, P Orbanz, I Prünster | 97 | 2019 |
| Latent nested nonparametric priors (with discussion) F Camerlenghi, DB Dunson, A Lijoi, I Prünster, A Rodríguez Bayesian Analysis 14 (4), 1303, 2019 | 51 | 2019 |
| A common atoms model for the Bayesian nonparametric analysis of nested data F Denti, F Camerlenghi, M Guindani, A Mira Journal of the American Statistical Association 118 (541), 405-416, 2023 | 28 | 2023 |
| Bayesian nonparametric inference beyond the Gibbs‐type framework F Camerlenghi, A Lijoi, I Prünster Scandinavian Journal of Statistics 45 (4), 1062-1091, 2018 | 20 | 2018 |
| Bayesian prediction with multiple-samples information F Camerlenghi, A Lijoi, I Prünster Journal of Multivariate Analysis 156, 18-28, 2017 | 20 | 2017 |
| More for less: predicting and maximizing genomic variant discovery via Bayesian nonparametrics L Masoero, F Camerlenghi, S Favaro, T Broderick Biometrika 109 (1), 17-32, 2022 | 18 | 2022 |
| Survival analysis via hierarchically dependent mixture hazards F Camerlenghi, A Lijoi, I Prünster | 14 | 2021 |
| Nonparametric Bayesian multiarmed bandits for single-cell experiment design F Camerlenghi, B Dumitrascu, F Ferrari, BE Engelhardt, S Favaro | 14 | 2020 |
| On the estimation of the mean density of random closed sets F Camerlenghi, V Capasso, E Villa Journal of Multivariate Analysis 125, 65-88, 2014 | 11 | 2014 |
| Scaled process priors for Bayesian nonparametric estimation of the unseen genetic variation F Camerlenghi, S Favaro, L Masoero, T Broderick Journal of the American Statistical Association 119 (545), 320-331, 2024 | 10 | 2024 |
| A Good-Turing estimator for feature allocation models F Ayed, M Battiston, F Camerlenghi, S Favaro | 9 | 2019 |
| On consistent and rate optimal estimation of the missing mass F Ayed, M Battiston, F Camerlenghi, S Favaro Annales de l'Institut Henri Poincare (B) Probabilites et statistiques 57 (3 …, 2021 | 5 | 2021 |
| On consistent and rate optimal estimation of the missing mass M Battiston, F Ayed, F Camerlenghi, S Favaro Annales de l’institut Henri Poincare (B) Probability and Statistics, 2020 | 5 | 2020 |
| Posterior representations of hierarchical completely random measures in trait allocation models L Masoero, F Camerlenghi, S Favaro, T Broderick NeurIPS Workshop on All of Bayesian Nonparametrics, 2018 | 5 | 2018 |
| Numerical experiments for the estimation of mean densities of random sets F Camerlenghi, V Capasso, E Villa Image Analysis & Stereology 33 (2), 83-94, 2014 | 5 | 2014 |
| Wasserstein posterior contraction rates in non-dominated Bayesian nonparametric models F Camerlenghi, E Dolera, S Favaro, E Mainini arXiv preprint arXiv:2201.12225, 2022 | 4 | 2022 |
| Hierarchical and nested random probability measures with statistical applications F Camerlenghi BEST PHD THESIS IN STATISTICS AND APPLICATIONS. DEMOGRAPHY. STATISTICS …, 2019 | 4 | 2019 |
| Latent nested nonparametric priors F Camerlenghi, DB Dunson, A Lijoi, I Prünster, A Rodríguez arXiv preprint arXiv:1801.05048, 2018 | 4 | 2018 |
| On Johnson’s “sufficientness” postulates for feature-sampling models F Camerlenghi, S Favaro Mathematics 9 (22), 2891, 2021 | 3 | 2021 |
| Consistent estimation of small masses in feature sampling F Ayed, M Battiston, F Camerlenghi, S Favaro Journal of Machine Learning Research 22 (6), 1-28, 2021 | 3 | 2021 |
