Advances in time series analysis and forecasting : selected contributions from ITISE 2016 / Ignacio Rojas, Héctor Pomares, Olga Valenzuela editors

• Pubblicazione: Cham, : Springer, 2017
• Titolo uniforme: Advances in time series analysis and forecasting
• 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
• Persona (resp. second.): Pomares, Héctor; Rojas, Ignacio; Valenzuela, Olga
• Titolo autorizzato: Advances in time series analysis and forecasting
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN0123361
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: http://doi.org/10.1007/978-3-319-55789-2
• Serie: Contributions to Statistics Berlin [etc.] . -Springer