Bayesian Statistics, New Generations New Approaches : BAYSM 2022, Montréal, Canada, June 22–23 / Alejandra Avalos-Pacheco, Roberta De Vito, Florian Maire editors

• Pubblicazione: Cham, : Springer, 2023
• Descrizione fisica: viii, 115 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 Cluster methods; Bayesian Modeling; Bayesian computation; Bayesian data analysis; Bayesian dimension reduction techniques; Bayesian non parametric; Bayesian process
• Persona (resp. second.): Avalos-Pacheco, Alejandra; De Vito, Roberta; Maire, Florian
• Titolo autorizzato: Bayesian Statistics, New Generations New Approaches
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN00278741
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: https://doi.org/10.1007/978-3-031-42413-7
• Serie: Springer proceedings in mathematics & statistics Berlin [etc.] . -Springer , 2012- ; 435