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Bayesian Inference and Maximum Entropy Methods in Science and Engineering : MaxEnt 37, Jarinu, Brazil, July 09–14, 2017 / Adriano Polpo ... [et al.] editors



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Titolo: Bayesian Inference and Maximum Entropy Methods in Science and Engineering : MaxEnt 37, Jarinu, Brazil, July 09–14, 2017 / Adriano Polpo ... [et al.] editors Visualizza cluster
Pubblicazione: xvi, 304 p., : ill. ; 24 cm
Edizione: Cham : Springer, 2018
Descrizione fisica: Pubblicazione in formato elettronico
Soggetto topico: 82B41 - Random walks, random surfaces, lattice animals, etc. in equilibrium statistical mechanics [MSC 2020]
60G35 - Signal detection and filtering (aspects of stochastic processes) [MSC 2020]
62-XX - Statistics [MSC 2020]
82B31 - Stochastic methods applied to problems in equilibrium statistical mechanics [MSC 2020]
62Axx - Foundational topics in statistics [MSC 2020]
65Cxx - Probabilistic methods, stochastic differential equations [MSC 2020]
81Pxx - Foundations, quantum information and its processing, quantum axioms, and philosophy [MSC 2020]
62Fxx - Parametric inference [MSC 2020]
85A35 - Statistical astronomy [MSC 2020]
Persona (resp. second.): Polpo, Adriano
Titolo autorizzato: Bayesian Inference and Maximum Entropy Methods in Science and Engineering  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: SUN0124581
Lo trovi qui: Univ. Vanvitelli
Localizzazioni e accesso elettronico http://doi.org/10.1007/978-3-319-91143-4
Opac: Controlla la disponibilità qui
Serie: Springer proceedings in mathematics & statistics ; 239 Berlin . -Springer , 2012-.