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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Bibliographic Details
Other Authors: Antoniadis, Anestis (Editor), Poggi, Jean-Michel, 1960- (Editor), Brossat, Xavier (Editor)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
Series:Lecture notes in statistics (Springer-Verlag) ; 217.
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