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Algorithms and programs of dynamic mixture estimation : unified approach to different types of components / Ivan Nagy, Evgenia Suzdaleva
| Algorithms and programs of dynamic mixture estimation : unified approach to different types of components / Ivan Nagy, Evgenia Suzdaleva |
| Autore | Nagy, Ivan |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | XI, 113 p. : ill. ; 24 cm |
| Altri autori (Persone) | Suzdaleva, Evgenia |
| Soggetto topico |
62F10 - Point estimation [MSC 2020]
62H12 - Estimation in multivariate analysis [MSC 2020] 62-XX - Statistics [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] |
| Soggetto non controllato |
Dynamic mixtures
Markov switching models Mixture estimation algorithms Mixture models Mixture prediction Mixtures of various distributions Open source programs Recursive Bayesian estimation |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123391 |
Nagy, Ivan
|
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| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Algorithms and programs of dynamic mixture estimation : unified approach to different types of components / Ivan Nagy, Evgenia Suzdaleva
| Algorithms and programs of dynamic mixture estimation : unified approach to different types of components / Ivan Nagy, Evgenia Suzdaleva |
| Autore | Nagy, Ivan |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | XI, 113 p. : ill. ; 24 cm |
| Altri autori (Persone) | Suzdaleva, Evgenia |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62F10 - Point estimation [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62H12 - Estimation in multivariate analysis [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] |
| Soggetto non controllato |
Dynamic mixtures
Markov switching models Mixture estimation algorithms Mixture models Mixture prediction Mixtures of various distributions Open source programs Recursive Bayesian estimation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00123391 |
|
Nagy, Ivan
|
||
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Stable and Efficient Cubature-based Filtering in Dynamical Systems / Dominik Ballreich
| Stable and Efficient Cubature-based Filtering in Dynamical Systems / Dominik Ballreich |
| Autore | Ballreich, Dominik |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xvii, 160 p. : ill. ; 24 cm |
| Soggetto topico |
65-XX - Numerical analysis [MSC 2020]
65D30 - Numerical integration [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62-08 - Computational methods for problems pertaining to statistics [MSC 2020] |
| Soggetto non controllato |
Cubature Kalman filter
Deterministic numerical integration Filtering in dynamical systems Ginzburg-Landau model Kalman Filter Lorenz model Maximum likelihood estimation Numerical integration Optimization and stabilization of cubature rules Recursive Bayesian estimation Six-dimentional coordinated turn model Smolyak cubature Smolyak cubature rules with an approximate degree of exactness State-space models Univariate non-stationary growth model |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123799 |
|
Ballreich, Dominik
|
||
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Stable and Efficient Cubature-based Filtering in Dynamical Systems / Dominik Ballreich
| Stable and Efficient Cubature-based Filtering in Dynamical Systems / Dominik Ballreich |
| Autore | Ballreich, Dominik |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xvii, 160 p. : ill. ; 24 cm |
| Soggetto topico |
62-08 - Computational methods for problems pertaining to statistics [MSC 2020]
62F15 - Bayesian inference [MSC 2020] 65-XX - Numerical analysis [MSC 2020] 65D30 - Numerical integration [MSC 2020] |
| Soggetto non controllato |
Cubature Kalman filter
Deterministic numerical integration Filtering in dynamical systems Ginzburg-Landau model Kalman Filter Lorenz model Maximum likelihood estimation Numerical integration Optimization and stabilization of cubature rules Recursive Bayesian estimation Six-dimentional coordinated turn model Smolyak cubature Smolyak cubature rules with an approximate degree of exactness State-space models Univariate non-stationary growth model |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00123799 |
|
Ballreich, Dominik
|
||
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||