Statistics for High-Dimensional Data

Released on by Peter Bühlmann
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  • Statistics for High-Dimensional Data Book Detail

  • Author : Peter Bühlmann
  • Release Date : 2011-06-08
  • Publisher : Springer Science & Business Media
  • Genre : Mathematics
  • Pages : 568
  • ISBN 13 : 364220192X
  • File Size : 25,25 MB
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Statistics for High-Dimensional Data by Peter Bühlmann PDF Summary

Book Description: Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches, including the Lasso and versions of it for various models, boosting methods, undirected graphical modeling, and procedures controlling false positive selections. A special characteristic of the book is that it contains comprehensive mathematical theory on high-dimensional statistics combined with methodology, algorithms and illustrations with real data examples. This in-depth approach highlights the methods’ great potential and practical applicability in a variety of settings. As such, it is a valuable resource for researchers, graduate students and experts in statistics, applied mathematics and computer science.

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