Modeling and Stochastic Learning for Forecasting in High Dimensions

Language: English

Published by Springer, Palgrave Macmillan Jun 2015, 2015

3319187317 / 9783319187310

Series: Book 65 of 72 - Lecture Notes in Statistics

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This item is printed on demand - Print on Demand Titel. Neuware -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 on forecasting issues in a rapidly evolving industrial environment are presented. The volume reflects the broad spectrum of the conference, including 16 articles contributed by specialists in various areas. The material compiled is broad in scope and ranges from new findings on forecasting in industry and in time series, on nonparametric and functional methods and on on-line machine learning for forecasting, to the latest developments in tools for high dimension and complex data analysis.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 352 pp. Englisch.

Seller Inventory # 9783319187310

Title
Modeling and Stochastic Learning for Forecasting in High Dimensions
Author
Anestis Antoniadis
Publisher
Springer, Palgrave Macmillan Jun 2015
Publication year
2015
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3319187317
ISBN 13
9783319187310
Item weight
534 grams
Dimensions
235x155x20 mm
Series
Book 65 of 72: Lecture Notes in Statistics

buchversandmimpf2000

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