Tommaso Rigon
Cited by
Cited by
Experimental evidence of effective human–AI collaboration in medical decision-making
C Reverberi, T Rigon, A Solari, C Hassan, P Cherubini, A Cherubini
Scientific reports 12 (1), 14952, 2022
Conditionally conjugate mean–field variational Bayes for logistic models
D Durante, T Rigon
Statistical Science 34 (3), 472-485, 2019
Tractable Bayesian density regression via logit stick-breaking priors
T Rigon, D Durante
Journal of Statistical Planning and Inference 211, 131-142, 2021
A generalized Bayes framework for probabilistic clustering
T Rigon, AH Herring, DB Dunson
Biometrika 110 (3), 559–578, 2023
The Pitman–Yor multinomial process for mixture modeling
A Lijoi, I Prünster, T Rigon
Biometrika 107 (4), 891-906, 2020
Extended stochastic block models with application to criminal networks
S Legramanti, T Rigon, D Durante, DB Dunson
The Annals of Applied Statistics 16 (4), 2369-2395, 2022
Finite-dimensional discrete random structures and Bayesian clustering
A Lijoi, I Prünster, T Rigon
Journal of the American Statistical Association, 2023
A nested expectation–maximization algorithm for latent class models with covariates
D Durante, A Canale, T Rigon
Statistics & Probability Letters 146, 97-103, 2019
Bayesian testing for exogenous partition structures in stochastic block models
S Legramanti, T Rigon, D Durante
Sankhya A: The Indian Journal of Statistics 84, 108-126, 2020
Bayesian semiparametric modelling of contraceptive behavior in India via sequential logistic regressions
T Rigon, D Durante, N Torelli
Journal of the Royal Statistical Society. Series A, Statistics in Society …, 2019
Bayesian nonparametric modeling of latent partitions via Stirling-gamma priors
A Zito, T Rigon, DB Dunson
arXiv preprint arXiv:2306.02360, 2023
An enriched mixture model for functional clustering
T Rigon
Applied Stochastic Models in Business and Industry 39, 232--250, 2023
Sampling hierarchies of discrete random structures
A Lijoi, I Prünster, T Rigon
Statistics and Computing 30 (6), 1591-1607, 2020
Hierarchical Spatio-Temporal Modeling of Resting State fMRI Data
A Caponera, F Denti, T Rigon, A Sottosanti, A Gelfand
Studies in Neural Data Science, 111-130, 2018
Bayesian modelling of sequential discoveries
A Zito, T Rigon, O Ovaskainen, DB Dunson
Journal of the American Statistical Association 118 (544), 2521–2532, 2023
Inferring taxonomic placement from DNA barcoding aiding in discovery of new taxa
A Zito, T Rigon, DB Dunson
Methods in Ecology and Evolution 14 (2), 529-542, 2023
Bayesian inference for generalized linear models via quasi-posteriors
D Agnoletto, T Rigon, DB Dunson
arXiv preprint arXiv:2311.00820, 2023
Conjugate priors and bias reduction for logistic regression models
T Rigon, E Aliverti
Statistics & Probability Letters 202, 109901, 2023
Enriched Pitman-Yor processes
T Rigon, B Scarpa, S Petrone
arXiv preprint arXiv:2003.12200, 2020
Bayesian modeling via discrete nonparametric priors
M Catalano, A Lijoi, I Prünster, T Rigon
Japanese Journal of Statistics and Data Science 6, 607–624, 2023
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