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