Bayesian Statistics and New Generations : BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions / Raffaele Argiento, Daniele Durante, Sara Wade editors

• Pubblicazione: Cham, : Springer, 2019
• Titolo uniforme: Bayesian Statistics and New Generations
• Descrizione fisica: xi, 184 p. : ill. ; 24 cm
• Soggetto topico: 62Mxx - Inference from stochastic processes [MSC 2020]; 62-XX - Statistics [MSC 2020]; 62Cxx - Statistical decision theory [MSC 2020]; 62Gxx - Nonparametric inference [MSC 2020]; 62Hxx - Multivariate analysis [MSC 2020]; 62Pxx - Applications of statistics [MSC 2020]; 62Fxx - Parametric inference [MSC 2020]
• Soggetto non controllato: Applications; Bayesian Inference; Bayesian Modeling; Bayesian computation; Computational problems in statistics; Data science; Inference from stochastic processes; Methodological and Applied Statistics; Multivariate Analysis; Neurosciences, astrostatistics, climate change; Nonparametric inference; Parametric inference; Young researchers
• Persona (resp. second.): Argiento, Raffaele; Durante, Daniele; Wade, Sara
• Titolo autorizzato: Bayesian Statistics and New Generations
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN0126746
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: http://doi.org/10.1007/978-3-030-30611-3
• Serie: Springer proceedings in mathematics & statistics Berlin [etc.] . -Springer ; 296