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Modeling and Stochastic Learning for Forecasting in High Dimensions

The chapters in this volume stress the need for advances in theoretical understanding to go hand-in-hand with the widespread practical application of forecasting in industry. Forecasting and time series prediction have enjoyed considerable attention over the last few decades, fostered by impressive...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Antoniadis, Anestis (Editor ), Poggi, Jean-Michel (Editor ), Brossat, Xavier (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:Lecture Notes in Statistics - Proceedings ; 217
Temas:
Acceso en línea:Texto Completo