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...
| Corporate Author: | SpringerLink (Online service) |
|---|---|
| Other Authors: | Antoniadis, Anestis (Editor), Poggi, Jean-Michel (Editor), Brossat, Xavier (Editor) |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2015.
|
| Series: | Lecture Notes in Statistics,
217 |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
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