Case Studies in Applied Bayesian Data Science : CIRM Jean-Morlet Chair, Fall 2018 / Kerrie L. Mengersen, Pierre Pudlo, Christian P. Robert editors

• Pubblicazione: Cham, : Springer, 2020
• Titolo uniforme: Case Studies in Applied Bayesian Data Science : CIRM Jean-Morlet Chair, Fall 2018
• Descrizione fisica: vi, 417 p. : ill. ; 24 cm
• Soggetto topico: 60Gxx - Stochastic processes [MSC 2020]; 60J10 - Markov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020]; 62F15 - Bayesian inference [MSC 2020]; 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]; 62M40 - Random fields; image analysis [MSC 2020]; 62R07 - Statistical aspects of big data and data science [MSC 2020]; 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020]; 62G05 - Nonparametric estimation [MSC 2020]
• Soggetto non controllato: Applied Data Science; Applied Statistics; Bayesian Optimization; Bayesian Statistics; Bayesian computation; Bayesian neural networks; Big Data; Case Studies in Data Science; Case studies in Ecology; Case studies in Health; Composite likelihood; Markov random fields; Mixture models; Spatial models
• Persona (resp. second.): Mengersen, Kerrie L.; Pudlo, Pierre; Robert, Christian P.
• Titolo autorizzato: Case Studies in Applied Bayesian Data Science
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN0132626
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: http://doi.org/10.1007/978-3-030-42553-1