Machine Learning in Finance : From Theory to Practice / Matthew F. Dixon, Igor Halperin, Paul Bilokon

• Autore: Dixon, Matthew F.
• Pubblicazione: Cham, : Springer, 2020
• Titolo uniforme: Machine Learning in Finance
• Descrizione fisica: xxv, 548 p. : ill. ; 24 cm
• Soggetto topico: 62-XX - Statistics [MSC 2020]; 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020]; 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020]; 91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020]; 62M45 - Neural nets and related approaches to inference from stochastic processes [MSC 2020]; 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020]; 91B84 - Economic time series analysis [MSC 2020]; 91G80 - Financial applications of other theories [MSC 2020]; 91G10 - Portfolio theory [MSC 2020]
• Soggetto non controllato: Bayesian neural networks; Financial Econometrics; Financial mathematics; Investment Management; Machine learning; Neural networks; Reinforcement Learning; Time Series Modeling; Wealth Management
• Altri autori: Bilokon, Paul Halperin, Igor
• Titolo autorizzato: Machine Learning in Finance
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN0249410
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: http://doi.org/10.1007/978-3-030-41068-1