Autore: |
Triantafyllopoulos, Kostas
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Titolo: |
Bayesian Inference of State Space Models : Kalman Filtering and Beyond / Kostas Triantafyllopoulos
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Pubblicazione: |
Cham, : Springer, 2021 |
Descrizione fisica: |
xv, 495 p. : ill. ; 24 cm |
Soggetto topico: |
93E11 - Filtering in stochastic control theory [MSC 2020] |
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62-XX - Statistics [MSC 2020] |
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62F15 - Bayesian inference [MSC 2020] |
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62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] |
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62P20 - Applications of statistics to economics [MSC 2020] |
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62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] |
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91B84 - Economic time series analysis [MSC 2020] |
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62P30 - Applications of statistics in engineering and industry; control charts [MSC 2020] |
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93E03 - Stochastic systems in control theory (general) [MSC 2020] |
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62M20 - Inference from stochastic processes and prediction; filtering [MSC 2020] |
Soggetto non controllato: |
Bayesian estimation |
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Bayesian forecasting |
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Control theory |
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Dynamic models |
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Financial Time Series |
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Non Gaussian time series |
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Sequential Monte Carlo |
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State space in dynamic systems |
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State-space models |
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Stochastic volatility |
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Systems stability |
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Volatility models |
Titolo autorizzato: |
Bayesian Inference of State Space Models  |
Formato: |
Materiale a stampa  |
Livello bibliografico |
Monografia |
Lingua di pubblicazione: |
Inglese |
Record Nr.: | VAN0274587 |
Lo trovi qui: | Univ. Vanvitelli |
Localizzazioni e accesso elettronico |
https://doi.org/10.1007/978-3-030-76124-0 |
Opac: |
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