Advances in time series analysis and forecasting : selected contributions from ITISE 2016 / Ignacio Rojas, Héctor Pomares, Olga Valenzuela editors |
Pubbl/distr/stampa | Cham, : Springer, 2017 |
Descrizione fisica | XV, 414 p. : ill. ; 24 cm |
Soggetto topico |
68-XX - Computer science [MSC 2020]
58-XX - Global analysis, analysis on manifolds [MSC 2020] 37-XX - Dynamical systems and ergodic theory [MSC 2020] 60-XX - Probability theory and stochastic processes [MSC 2020] 62-XX - Statistics [MSC 2020] |
Soggetto non controllato |
Advanced methods in time series
Big Data Complex data Forecasting Forecasting in real problems High-Dimensional Data Irregularly sampled time series Linear and non-linear time series Multi-scale analysis of time series On-line learning in time series Time Series Analysis Time series forecasting Univariate and multivariate time series |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0123361 |
Cham, : Springer, 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Advances in time series analysis and forecasting : selected contributions from ITISE 2016 / Ignacio Rojas, Héctor Pomares, Olga Valenzuela editors |
Pubbl/distr/stampa | Cham, : Springer, 2017 |
Descrizione fisica | XV, 414 p. : ill. ; 24 cm |
Soggetto topico |
37-XX - Dynamical systems and ergodic theory [MSC 2020]
58-XX - Global analysis, analysis on manifolds [MSC 2020] 60-XX - Probability theory and stochastic processes [MSC 2020] 62-XX - Statistics [MSC 2020] 68-XX - Computer science [MSC 2020] |
Soggetto non controllato |
Advanced methods in time series
Big Data Complex data Forecasting Forecasting in real problems High-Dimensional Data Irregularly sampled time series Linear and non-linear time series Multi-scale analysis of time series On-line learning in time series Time Series Analysis Time series forecasting Univariate and multivariate time series |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN00123361 |
Cham, : Springer, 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Theory and Applications of Time Series Analysis : Selected Contributions from ITISE 2018 / Olga Valenzuela … [et al.] editors] |
Pubbl/distr/stampa | Cham, : Springer, 2019 |
Descrizione fisica | xv, 380 p. : ill. ; 24 cm |
Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] |
Soggetto non controllato |
Artificial Intelligence
Big and complex data Computational intelligence methods for time series Econometrics forecasting Energy time series forecasting Financial forecasting Forecasting theory and adjustment Hierarchical forecasting High-Dimensional Data On-line learning in time series Pattern recognition Risk analysis Statistics for business Time Series Analysis Time series in earth sciences |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0127220 |
Cham, : Springer, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Theory and Applications of Time Series Analysis : Selected Contributions from ITISE 2018 / Olga Valenzuela … [et al.] editors] |
Pubbl/distr/stampa | Cham, : Springer, 2019 |
Descrizione fisica | xv, 380 p. : ill. ; 24 cm |
Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] |
Soggetto non controllato |
Artificial Intelligence
Big and complex data Computational intelligence methods for time series Econometrics forecasting Energy time series forecasting Financial forecasting Forecasting theory and adjustment Hierarchical forecasting High-Dimensional Data On-line learning in time series Pattern recognition Risk analysis Statistics for business Time Series Analysis Time series in earth sciences |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN00127220 |
Cham, : Springer, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Time Series Analysis and Forecasting : Selected Contributions from ITISE 2017 / Ignacio Rojas, Héctor Pomares, Olga Valenzuela editors |
Pubbl/distr/stampa | Cham, : Springer, 2018 |
Descrizione fisica | xiii, 340 p. : ill. ; 24 cm |
Soggetto topico |
68-XX - Computer science [MSC 2020]
58-XX - Global analysis, analysis on manifolds [MSC 2020] 37-XX - Dynamical systems and ergodic theory [MSC 2020] 60-XX - Probability theory and stochastic processes [MSC 2020] 62-XX - Statistics [MSC 2020] |
Soggetto non controllato |
Artificial Intelligence
Big Data Complex data Computational intelligence methods Dimensionality reduction Econometric models Energy time series forecasting Forecasting Forecasting in real problems High-Dimensional Data Mathematical methodology for time series On-line learning in time series Pattern recognition Similarity measures Time series |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0125060 |
Cham, : Springer, 2018 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Time Series Analysis and Forecasting : Selected Contributions from ITISE 2017 / Ignacio Rojas, Héctor Pomares, Olga Valenzuela editors |
Pubbl/distr/stampa | Cham, : Springer, 2018 |
Descrizione fisica | xiii, 340 p. : ill. ; 24 cm |
Soggetto topico |
37-XX - Dynamical systems and ergodic theory [MSC 2020]
58-XX - Global analysis, analysis on manifolds [MSC 2020] 60-XX - Probability theory and stochastic processes [MSC 2020] 62-XX - Statistics [MSC 2020] 68-XX - Computer science [MSC 2020] |
Soggetto non controllato |
Artificial Intelligence
Big Data Complex data Computational intelligence methods Dimensionality reduction Econometric models Energy time series forecasting Forecasting Forecasting in real problems High-Dimensional Data Mathematical methodology for time series On-line learning in time series Pattern recognition Similarity measures Time series |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN00125060 |
Cham, : Springer, 2018 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|