ASCOLANI, FILIPPO

ASCOLANI, FILIPPO  

Dipartimento di Scienze delle Decisioni  

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Titolo Data di pubblicazione Autore(i) Rivista Editore
A framework for filtering in hidden Markov models with normalized random measures 1-gen-2021 Ascolani, Filippo; Lijoi, Antonio; Pruenster, Igor; Ruggiero, Matteo - Pearson
Clustering consistency with Dirichlet process mixtures 1-gen-2023 Ascolani, Filippo; Lijoi, Antonio; Rebaudo, Giovanni; Zanella, Giacomo BIOMETRIKA -
Dimension-free mixing times of Gibbs samplers for Bayesian hierarchical models 1-gen-2024 Ascolani, Filippo; Zanella, Giacomo ANNALS OF STATISTICS -
Discussion of the paper by E. Fong, C. Holmes and S. Walker 1-gen-2023 Ascolani, Filippo; Lijoi, Antonio; Pruenster, Igor JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B STATISTICAL METHODOLOGY -
Filippo Ascolani, Antonio Lijoi and Igor Prünster's contribution to the Discussion of 'Root and community inference on the latent growth process of a network' by Crane and Xu 1-gen-2024 Ascolani, Filippo; Lijoi, Antonio; Pruenster, Igor JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B STATISTICAL METHODOLOGY -
Hierarchical structures in Bayesian Statistics 21-gen-2024 Ascolani, Filippo - Università Bocconi
Invited discussion to "Giordano, R., Liu, R., Jordan, M.I., Broderick, T. Evaluating Sensitivity to the Stick-Breaking Prior in Bayesian Nonparametrics (with Discussion). Bayesian Analysis. 2023;18(1):287" 1-gen-2023 Ascolani, Filippo; Catalano, Marta; Pruenster, Igor BAYESIAN ANALYSIS -
Nonparametric priors with full-range borrowing of information 1-gen-2024 Ascolani, Filippo; Franzolini, Beatrice; Lijoi, Antonio; Pruenster, Igor BIOMETRIKA -
On the dependence structure in Bayesian nonparametric priors 1-gen-2021 Ascolani, Filippo; Franzolini, Beatrice; Lijoi, Antonio; Pruenster, Igor - Pearson