Modeling and Stochastic Learning for Forecasting in High Dimensions

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Antoniadis, Anestis (Επιμελητής έκδοσης), Poggi, Jean-Michel (Επιμελητής έκδοσης), Brossat, Xavier (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Σειρά: Lecture Notes in Statistics, 217
• Θέματα: Statistics.; Mathematical statistics.; Mathematical models.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.; Mathematical Modeling and Industrial Mathematics.; Probability and Statistics in Computer Science.

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...