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



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Titolo: Case Studies in Applied Bayesian Data Science : CIRM Jean-Morlet Chair, Fall 2018 / Kerrie L. Mengersen, Pierre Pudlo, Christian P. Robert editors Visualizza cluster
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  Visualizza cluster
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
Opac: Controlla la disponibilità qui
Fa parte di: Lecture notes in mathematics Berlin [etc.] . -Springer , 1964- ; 2259