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Bayesian Inference of State Space Models : Kalman Filtering and Beyond / Kostas Triantafyllopoulos
| Bayesian Inference of State Space Models : Kalman Filtering and Beyond / Kostas Triantafyllopoulos |
| Autore | Triantafyllopoulos, Kostas |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xv, 495 p. : ill. ; 24 cm |
| Soggetto topico |
93E11 - Filtering in stochastic control theory [MSC 2020]
62-XX - Statistics [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] 91B84 - Economic time series analysis [MSC 2020] 62P30 - Applications of statistics in engineering and industry; control charts [MSC 2020] 93E03 - Stochastic systems in control theory (general) [MSC 2020] 62M20 - Inference from stochastic processes and prediction; filtering [MSC 2020] |
| Soggetto non controllato |
Bayesian estimation
Bayesian forecasting Control theory Dynamic models Financial Time Series Non Gaussian time series Sequential Monte Carlo State space in dynamic systems State-space models Stochastic volatility Systems stability Volatility models |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274587 |
Triantafyllopoulos, Kostas
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Bayesian Inference of State Space Models : Kalman Filtering and Beyond / Kostas Triantafyllopoulos
| Bayesian Inference of State Space Models : Kalman Filtering and Beyond / Kostas Triantafyllopoulos |
| Autore | Triantafyllopoulos, Kostas |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xv, 495 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62F15 - Bayesian inference [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 62M20 - Inference from stochastic processes and prediction; filtering [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] 62P30 - Applications of statistics in engineering and industry; control charts [MSC 2020] 91B84 - Economic time series analysis [MSC 2020] 93E03 - Stochastic systems in control theory (general) [MSC 2020] 93E11 - Filtering in stochastic control theory [MSC 2020] |
| Soggetto non controllato |
Bayesian estimation
Bayesian forecasting Control theory Dynamic models Financial Time Series Non Gaussian time series Sequential Monte Carlo State space in dynamic systems State-space models Stochastic volatility Systems stability Volatility models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00274587 |
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Triantafyllopoulos, Kostas
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Non-Gaussian Autoregressive-Type Time Series / N. Balakrishna
| Non-Gaussian Autoregressive-Type Time Series / N. Balakrishna |
| Autore | Balakrishna, Narayana |
| Pubbl/distr/stampa | Singapore, : Springer, 2021 |
| Descrizione fisica | xviii, 225 p. : ill. ; 24 cm |
| Soggetto topico |
62F10 - Point estimation [MSC 2020]
62-XX - Statistics [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 62J12 - Generalized linear models (logistic models) [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 62F12 - Asymptotic properties of parametric estimators [MSC 2020] |
| Soggetto non controllato |
(auto)regression
Autoregressive models with non Gaussian innovations Autoregressive models with stable innovations Cauchy autoregressive models Estimating function methods Exponential autoregressive models Gamma autoregressive models Laplace autoregressive models Logistic autoregressive models Maximum probability estimators Minification models Mixture autoregressive models Non Gaussian time series Product autoregressive models Quasi likelihood methods Time series models with slowly varying innovations |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0275481 |
|
Balakrishna, Narayana
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| Singapore, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Non-Gaussian Autoregressive-Type Time Series / N. Balakrishna
| Non-Gaussian Autoregressive-Type Time Series / N. Balakrishna |
| Autore | Balakrishna, Narayana |
| Pubbl/distr/stampa | Singapore, : Springer, 2021 |
| Descrizione fisica | xviii, 225 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62F10 - Point estimation [MSC 2020] 62F12 - Asymptotic properties of parametric estimators [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 62J12 - Generalized linear models (logistic models) [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] |
| Soggetto non controllato |
(auto)regression
Autoregressive models with non Gaussian innovations Autoregressive models with stable innovations Cauchy autoregressive models Estimating function methods Exponential autoregressive models Gamma autoregressive models Laplace autoregressive models Logistic autoregressive models Maximum probability estimators Minification models Mixture autoregressive models Non Gaussian time series Product autoregressive models Quasi likelihood methods Time series models with slowly varying innovations |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00275481 |
|
Balakrishna, Narayana
|
||
| Singapore, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||