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. Ed(S): Antoniadis, Anestis; Poggi, Jean-Michel; Brossat, Xavier - Modeling and Stochastic Learning for Forecasting in High Dimensions - 9783319187310 - V9783319187310
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Modeling and Stochastic Learning for Forecasting in High Dimensions

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Description for Modeling and Stochastic Learning for Forecasting in High Dimensions Paperback. Editor(s): Antoniadis, Anestis; Poggi, Jean-Michel; Brossat, Xavier. Series: Lecture Notes in Statistics. Num Pages: 349 pages, 56 black & white illustrations, 49 colour illustrations, biography. BIC Classification: PBT; PBWH; UYAM. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 19. Weight in Grams: 495.
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 advances in observational capabilities and measurement procedures. On June 5-7, 2013, an international Workshop on Industry Practices for Forecasting was held in Paris, France, organized and supported by the OSIRIS Department of Electricité de France Research and Development Division. In keeping with tradition, both theoretical statistical results and practical contributions on this active field of statistical research and ... Read more

Product Details

Format
Paperback
Publication date
2015
Publisher
Birkhauser Verlag AG Switzerland
Number of pages
349
Condition
New
Series
Lecture Notes in Statistics
Number of Pages
339
Place of Publication
Cham, Switzerland
ISBN
9783319187310
SKU
V9783319187310
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About . Ed(S): Antoniadis, Anestis; Poggi, Jean-Michel; Brossat, Xavier
Anestis Antoniadis is Emeritus Professor at the Department of Applied Mathematics (Laboratoire Jean Kuntzmann), University Joseph Fourier, Grenoble and is also honorary research associate at the Department of Statistical Sciences, University of Cape Town, South Africa. His research interests include wavelet theory, nonparametric function estimation, abstract inference of stochastic processes, statistical pattern recognition, and statistical methodology in meteorology and crystallography. ... Read more

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