New Frontiers in Bayesian Statistics : BAYSM 2021, Online, September 1–3 / Raffaele Argiento, Federico Camerlenghi, Sally Paganin editors

• Pubblicazione: Cham, : Springer, 2022
• Descrizione fisica: xi, 117 p. : ill. ; 24 cm
• Soggetto topico: 00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]; 62-XX - Statistics [MSC 2020]; 62C10 - Bayesian problems; characterization of Bayes procedures [MSC 2020]; 62C12 - Empirical decision procedures; empirical Bayes procedures [MSC 2020]; 62F15 - Bayesian inference [MSC 2020]; 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]
• Soggetto non controllato: Bayesian Statistics; Bayesian nonparametrics; Markov chain; Mixture models; Monte Carlo algorithms; Structural Learning; Survival analysis
• Persona (resp. second.): Argiento, Raffaele; Camerlenghi, Federico; Paganin, Sally
• Titolo autorizzato: New frontiers in Bayesian Statistics
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN0277965
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: https://doi.org/10.1007/978-3-031-16427-9
• Serie: Springer proceedings in mathematics & statistics Berlin [etc.] . -Springer , 2012- ; 405