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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
| Bayesian Inference and Maximum Entropy Methods in Science and Engineering : MaxEnt 37, Jarinu, Brazil, July 09–14, 2017 / Adriano Polpo ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | xvi, 304 p. : ill. ; 24 cm |
| 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] |
| Soggetto non controllato |
Astrophysics
Biostatistics Chemistry Climate Studies Communications Theory Comology Earth Science Entropy Fluid mechanics Genetics Geophysics Imprecise Probability Machine learning Material Science Maximum Entropy Medical Imaging Non-parametric Mmethods Robotics Statistical models Survival analysis |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0124581 |
| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Bayesian Inference and Maximum Entropy Methods in Science and Engineering : MaxEnt 37, Jarinu, Brazil, July 09–14, 2017 / Adriano Polpo ... [et al.] editors
| Bayesian Inference and Maximum Entropy Methods in Science and Engineering : MaxEnt 37, Jarinu, Brazil, July 09–14, 2017 / Adriano Polpo ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | xvi, 304 p. : ill. ; 24 cm |
| Soggetto topico |
60G35 - Signal detection and filtering (aspects of stochastic processes) [MSC 2020]
62-XX - Statistics [MSC 2020] 62Axx - Foundational topics in statistics [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 65Cxx - Probabilistic methods, stochastic differential equations [MSC 2020] 81Pxx - Foundations, quantum information and its processing, quantum axioms, and philosophy [MSC 2020] 82B31 - Stochastic methods applied to problems in equilibrium statistical mechanics [MSC 2020] 82B41 - Random walks, random surfaces, lattice animals, etc. in equilibrium statistical mechanics [MSC 2020] 85A35 - Statistical astronomy [MSC 2020] |
| Soggetto non controllato |
Astrophysics
Biostatistics Chemistry Climate Studies Communications Theory Comology Earth Science Entropy Fluid mechanics Genetics Geophysics Imprecise Probability Machine learning Material Science Maximum Entropy Medical Imaging Non-parametric Mmethods Robotics Statistical models Survival analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00124581 |
| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||