Sfoglia per Autore
Bias-reduction methods for Poisson regression models
2023 Presicce, L; Rigon, T; Aliverti, E
Hierarchical processes in survival analysis
2023 Cogo, R; Camerlenghi, F; Rigon, T
Bayesian density estimation for modeling age-at-death distribution
2023 Agnoletto, D; Rigon, T; Scarpa, B
An enriched mixture model for functional clustering
2023 Rigon, T
Bayesian modeling via discrete nonparametric priors
2023 Catalano, M; Lijoi, A; Prünster, I; Rigon, T
A generalized Bayes framework for probabilistic clustering
2023 Rigon, T; Herring, A; Dunson, D
Finite-dimensional Discrete Random Structures and Bayesian Clustering
2023 Lijoi, A; Pruenster, I; Rigon, T
Conjugate priors and bias reduction for logistic regression models
2023 Rigon, T; Aliverti, E
Inferring taxonomic placement from DNA barcoding aiding in discovery of new taxa
2023 Zito, A; Rigon, T; Dunson, D
Bayesian Clustering of Brain Regions via Extended Stochastic Block Models
2022 Legramanti, S; Rigon, T; Durante, D
Extended stochastic block models with application to criminal networks
2022 Legramanti, S; Rigon, T; Durante, D; Dunson, D
Bayesian Modeling of Sequential Discoveries
2022 Zito, A; Rigon, T; Ovaskainen, O; Dunson, D
Bayesian Testing for Exogenous Partition Structures in Stochastic Block Models
2022 Legramanti, S; Rigon, T; Durante, D
Experimental evidence of effective human–AI collaboration in medical decision-making
2022 Reverberi, C; Rigon, T; Solari, A; Hassan, C; Cherubini, P; Antonelli, G; Awadie, H; Bernhofer, S; Carballal, S; Dinis-Ribeiro, M; Fernandez-Clotett, A; Esparrach, G; Gralnek, I; Higasa, Y; Hirabayashi, T; Hirai, T; Iwatate, M; Kawano, M; Mader, M; Maieron, A; Mattes, S; Nakai, T; Ordas, I; Ortigao, R; Zuniga, O; Pellise, M; Pinto, C; Riedl, F; Sanchez, A; Steiner, E; Tanaka, Y; Cherubini, A
Modelling of accumulation curves through Weibull survival functions
2021 Zito, A; Rigon, T; Dunson, D
Bayesian nonparametric disclosure risk assessment
2021 Favaro, S; Panero, F; Rigon, T
Contributed discussion on: "Centered Partition Processes: informative priors for clustering"
2021 Rigon, T; Aliverti, E; Russo, M; Scarpa, B
Tractable Bayesian density regression via logit stick-breaking priors
2021 Rigon, T; Durante, D
The Pitman-Yor multinomial process for mixture modelling
2020 Lijoi, A; Prünster, I; Rigon, T
Sampling hierarchies of discrete random structures
2020 Lijoi, A; Prunster, I; Rigon, T
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