Seguir
Filippo Ascolani
Filippo Ascolani
PhD student
Dirección de correo verificada de phd.unibocconi.it - Página principal
Título
Citado por
Citado por
Año
Clustering consistency with Dirichlet process mixtures
F Ascolani, A Lijoi, G Rebaudo, G Zanella
Biometrika 110 (2), 551-558, 2023
282023
Predictive inference with Fleming–Viot-driven dependent Dirichlet processes
F Ascolani, A Lijoi, M Ruggiero
Bayesian Analysis 16 (2), 371-395, 2021
142021
Complexity of Gibbs samplers through Bayesian asymptotics
F Ascolani, G Zanella
arXiv preprint arXiv:2304.06993, 2023
32023
Smoothing distributions for conditional Fleming–Viot and Dawson–Watanabe diffusions
F Ascolani, A Lijoi, M Ruggiero
Bernoulli 29 (2), 1410-1434, 2023
22023
On the dependence structure in Bayesian nonparametric priors
F Ascolani, B Franzolini, A Lijoi, I Prünster
Book of Short Papers. Italian Statistical Society, 2021
12021
Scalability of Metropolis-within-Gibbs schemes for high-dimensional Bayesian models
F Ascolani, GO Roberts, G Zanella
arXiv preprint arXiv:2403.09416, 2024
2024
Hierarchical structures in Bayesian Statistics
F Ascolani
Università Bocconi, 2024
2024
Discussion of the paper by E. Fong, C. Holmes and S. Walker
F Ascolani, A Lijoi, I Pruenster
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B STATISTICAL METHODOLOGY, ---, 2024
2024
Nonparametric priors with full-range borrowing of information
F Ascolani, B Franzolini, A Lijoi, I Prünster
arXiv preprint arXiv:2310.00617, 2023
2023
Filippo Ascolani, Antonio Lijoi and Igor Prunster’s contribution to the Discussion of “Martingale Posterior Distributions” by Fong, Holmes and Walker
F Ascolani, A Lijoi, I Prünster
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023
2023
Invited discussion to" Giordano, R., Liu, R., Jordan, MI, Broderick, T. Evaluating Sensitivity to the Stick-Breaking Prior in Bayesian Nonparametrics (with Discussion …
F Ascolani, M Catalano, I Pruenster
Bayesian Analysis 18 (1), 340-344, 2023
2023
Mixing Times of a Gibbs Sampler for Probit Hierarchical Models
F Ascolani
International Conference on Bayesian Statistics in Action, 67-76, 2022
2022
A framework for filtering in hidden Markov models with normalized random measures
F Ascolani, A Lijoi, I Pruenster, M Ruggiero
Book of short papers-SIS 2021, 1-6, 2021
2021
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–13