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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
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| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Applied Time Series Analysis and Forecasting with Python / Changquan Huang, Alla Petukhina
| Applied Time Series Analysis and Forecasting with Python / Changquan Huang, Alla Petukhina |
| Autore | Huang, Changquan |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | x, 372 p. : ill. ; 24 cm |
| Altri autori (Persone) | Petukhina, Alla |
| Soggetto non controllato |
Artificial Intelligence
Big data analysis Data Visualization Data science Financial Time Series Forecasting Machine Learning for Time Series Markov switching models Multivariate time series Nonstationary Time Series Python State-space models Stationary Time Series Time Series Analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0276890 |
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Huang, Changquan
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| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Applied Time Series Analysis and Forecasting with Python / Changquan Huang, Alla Petukhina
| Applied Time Series Analysis and Forecasting with Python / Changquan Huang, Alla Petukhina |
| Autore | Huang, Changquan |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | x, 372 p. : ill. ; 24 cm |
| Altri autori (Persone) | Petukhina, Alla |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] |
| Soggetto non controllato |
Artificial Intelligence
Big data analysis Data Visualization Data science Financial Time Series Forecasting Machine Learning for Time Series Markov switching models Multivariate time series Nonstationary Time Series Python State-space models Stationary Time Series Time Series Analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00276890 |
|
Huang, Changquan
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||
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||