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Federico Camerlenghi
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Cited by
Year
Distribution theory for hierarchical processes
F Camerlenghi, A Lijoi, P Orbanz, I Prünster
922019
Latent nested nonparametric priors (with discussion)
F Camerlenghi, DB Dunson, A Lijoi, I Prünster, A Rodríguez
Bayesian Analysis 14 (4), 1303, 2019
482019
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
272023
Bayesian prediction with multiple-samples information
F Camerlenghi, A Lijoi, I Prünster
Journal of Multivariate Analysis 156, 18-28, 2017
202017
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
192022
Bayesian nonparametric inference beyond the Gibbs‐type framework
F Camerlenghi, A Lijoi, I Prünster
Scandinavian Journal of Statistics 45 (4), 1062-1091, 2018
172018
Survival analysis via hierarchically dependent mixture hazards
F Camerlenghi, A Lijoi, I Prünster
142021
Nonparametric Bayesian multiarmed bandits for single-cell experiment design
F Camerlenghi, B Dumitrascu, F Ferrari, BE Engelhardt, S Favaro
142020
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, 1-12, 2022
112022
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
112014
A Good-Turing estimator for feature allocation models
F Ayed, M Battiston, F Camerlenghi, S Favaro
92019
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
52020
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
52018
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
52014
Wasserstein posterior contraction rates in non-dominated Bayesian nonparametric models
F Camerlenghi, E Dolera, S Favaro, E Mainini
arXiv preprint arXiv:2201.12225, 2022
42022
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
42021
Hierarchical and nested random probability measures with statistical applications
F Camerlenghi
BEST PHD THESIS IN STATISTICS AND APPLICATIONS. DEMOGRAPHY. STATISTICS …, 2019
42019
Latent nested nonparametric priors
F Camerlenghi, DB Dunson, A Lijoi, I Prünster, A Rodríguez
arXiv preprint arXiv:1801.05048, 2018
42018
On Johnson’s “sufficientness” postulates for feature-sampling models
F Camerlenghi, S Favaro
Mathematics 9 (22), 2891, 2021
32021
Optimal disclosure risk assessment
F Camerlenghi, S Favaro, Z Naulet, F Panero
22021
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