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Modeling and Stochastic Learning for Forecasting in High Dimensions

Name: Modeling and Stochastic Learning for Forecasting in High Dimensions
Brand: Springer International Publishing AG
SKU: 09271952
Price: 152.59 EUR
Availability: InStock
Author: Anestis Antoniadis
ISBN: 9783319187310

Anestis Antoniadis

Jean-Michel Poggi

Xavier Brossat

Language

English

Book Paperback

Libristo code: 09271952

Publishers Springer International Publishing AG, June 2015

The chapters in this volume stress the need for advances in theoretical understanding to go hand-in-... Full description

Libristo code: 09271952

373 b

152.59 € VAT included

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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.