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Statistics for High-dimensional Data Methods Theory and Applications
zou2655503
2209 3
2014-02-04
Author: Peter Buhlmann and Sara van de Geer
  • Hardcover: 574 pages
  • Publisher: Springer; 2011 edition (June 8 2011)
  • Language: English
  • ISBN-10: 3642201911
  • ISBN-13: 978-3642201912
  • 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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Statistics for High-dimensional Data Methods Theory and Applications 作者 Peter Bühlmann and Sara v ...

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jiandong4388
2016-7-24 08:57:09
谢谢分享
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eeabcde
2018-9-11 13:28:12
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三江鸿
2023-1-15 14:16:35
点个赞感谢分享好书
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