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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 | ||
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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 |
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 sciences 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 | ||
| ||
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 |
| Edizione | [Cham : Springer, 2018] |
| Pubbl/distr/stampa | xvi, 304 p., : ill. ; 24 cm |
| 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] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0124581 |
| xvi, 304 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Bayesian methods for the physical sciences : learning from examples in astronomy and physics / Stefano Andreon, Brian Weaver
| Bayesian methods for the physical sciences : learning from examples in astronomy and physics / Stefano Andreon, Brian Weaver |
| Autore | Andreon, Stefano |
| Pubbl/distr/stampa | [Cham], : Springer, 2015 |
| Descrizione fisica | XI, 238 p. : ill. ; 24 cm |
| Altri autori (Persone) | Weaver, Brian |
| Soggetto topico |
62F15 - Bayesian inference [MSC 2020]
62P35 - Applications of statistics to physics [MSC 2020] 85A35 - Statistical astronomy [MSC 2020] |
| Soggetto non controllato |
Bayesian astrostatistics
Bayesian methods for astronomy Fitting regression models in physical sciences Parameter models physics Probability distribution Sensitivity analysis and model checking |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0113373 |
Andreon, Stefano
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| [Cham], : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Bayesian methods for the physical sciences : learning from examples in astronomy and physics / Stefano Andreon, Brian Weaver
| Bayesian methods for the physical sciences : learning from examples in astronomy and physics / Stefano Andreon, Brian Weaver |
| Autore | Andreon, Stefano |
| Pubbl/distr/stampa | [Cham], : Springer, 2015 |
| Descrizione fisica | XI, 238 p. : ill. ; 24 cm |
| Altri autori (Persone) | Weaver, Brian |
| Soggetto topico |
62F15 - Bayesian inference [MSC 2020]
62P35 - Applications of statistics to physics [MSC 2020] 85A35 - Statistical astronomy [MSC 2020] |
| Soggetto non controllato |
Bayesian astrostatistics
Bayesian methods for astronomy Fitting regression models in physical sciences Parameter models physics Probability distribution Sensitivity analysis and model checking |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00113373 |
|
Andreon, Stefano
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||
| [Cham], : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Bayesian methods for the physical sciences : learning from examples in astronomy and physics / Stefano Andreon, Brian Weaver
| Bayesian methods for the physical sciences : learning from examples in astronomy and physics / Stefano Andreon, Brian Weaver |
| Autore | Andreon, Stefano |
| Edizione | [[Cham] : Springer, 2015] |
| Pubbl/distr/stampa | XI, 238 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Altri autori (Persone) | Weaver, Brian |
| Soggetto topico |
62F15 - Bayesian inference [MSC 2020]
62P35 - Applications of statistics to physics [MSC 2020] 85A35 - Statistical astronomy [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0113373 |
|
Andreon, Stefano
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||
| XI, 238 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Introduction to Methods of Approximation in Physics and Astronomy / Maurice H.P.M. van Putten
| Introduction to Methods of Approximation in Physics and Astronomy / Maurice H.P.M. van Putten |
| Autore | Putten, Maurice H. P. M. : van |
| Pubbl/distr/stampa | Singapore, : Springer, 2017 |
| Descrizione fisica | xiii, 345 p. : ill. ; 24 cm |
| Soggetto topico |
85A35 - Statistical astronomy [MSC 2020]
83C25 - Approximation procedures, weak fields in general relativity and gravitational theory [MSC 2020] |
| Soggetto non controllato |
Approximation by projection
Cauchy numbers Fast Fourier Transform Function approximations Introduction to complex function theory Methods of approximation QR factorization Root finding and numerical integration Signal detection and signal analysis Vector fields and finite differencing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0193360 |
|
Putten, Maurice H. P. M. : van
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| Singapore, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Introduction to Methods of Approximation in Physics and Astronomy / Maurice H.P.M. van Putten
| Introduction to Methods of Approximation in Physics and Astronomy / Maurice H.P.M. van Putten |
| Autore | Putten, Maurice H. P. M. : van |
| Pubbl/distr/stampa | Singapore, : Springer, 2017 |
| Descrizione fisica | xiii, 345 p. : ill. ; 24 cm |
| Soggetto topico |
83C25 - Approximation procedures, weak fields in general relativity and gravitational theory [MSC 2020]
85A35 - Statistical astronomy [MSC 2020] |
| Soggetto non controllato |
Approximation by projection
Cauchy numbers Complex function theory Fast Fourier Transform Function approximations Methods of approximation QR factorization Root finding and numerical integration Signal detection and signal analysis Vector fields and finite differencing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00193360 |
|
Putten, Maurice H. P. M. : van
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| Singapore, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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