Editors:
Presents contributions from the International Workshop on Industry Practices for Forecasting (June 5-7, 2013, Paris, France)
Shows latest developments in forecasting and time series prediction
Includes practical examples illustrating theoretical models
Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Statistics (LNS, volume 217)
Part of the book sub series: Lecture Notes in Statistics - Proceedings (LNSP)
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Table of contents (16 papers)
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Front Matter
About this book
Editors and Affiliations
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Department of Statistics, University Joseph Fourier, Grenoble, France
Anestis Antoniadis
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Laboratoire de Mathématiques, Université Paris-Sud, Orsay Cedex, France
Jean-Michel Poggi
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Electricité de France R & D, OSIRIS, Clamart Cedex, France
Xavier Brossat
About the editors
Bibliographic Information
Book Title: Modeling and Stochastic Learning for Forecasting in High Dimensions
Editors: Anestis Antoniadis, Jean-Michel Poggi, Xavier Brossat
Series Title: Lecture Notes in Statistics
DOI: https://doi.org/10.1007/978-3-319-18732-7
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Softcover ISBN: 978-3-319-18731-0Published: 25 June 2015
eBook ISBN: 978-3-319-18732-7Published: 04 June 2015
Series ISSN: 0930-0325
Series E-ISSN: 2197-7186
Edition Number: 1
Number of Pages: X, 339
Number of Illustrations: 56 b/w illustrations, 49 illustrations in colour
Topics: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Mathematical Modeling and Industrial Mathematics, Probability and Statistics in Computer Science