Concentration inequalities and model selection

書誌事項

Concentration inequalities and model selection

Pascal Massart

(Lecture notes in mathematics, 1896 . École d'été de probabilités de Saint-Flour / editor, Jean Picard ; 33-2003)

Springer, c2007

タイトル別名

Concentration inequalities and model selection, St. Flour 2003

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注記

Includes bibliographical references (p. [319]-324) and index

http://dx.doi.org/10.1007/978-3-540-48503-2

内容説明・目次

内容説明

Concentration inequalities have been recognized as fundamental tools in several domains such as geometry of Banach spaces or random combinatorics. They also turn to be essential tools to develop a non asymptotic theory in statistics. This volume provides an overview of a non asymptotic theory for model selection. It also discusses some selected applications to variable selection, change points detection and statistical learning.

目次

Exponential and Information Inequalities.- Gaussian Processes.- Gaussian Model Selection.- Concentration Inequalities.- Maximal Inequalities.- Density Estimation via Model Selection.- Statistical Learning.

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詳細情報

  • NII書誌ID(NCID)
    BA81696142
  • ISBN
    • 9783540484974
  • LCCN
    2007921691
  • 出版国コード
    gw
  • タイトル言語コード
    eng
  • 本文言語コード
    eng
  • 出版地
    Berlin
  • ページ数/冊数
    xiv, 337 p.
  • 大きさ
    24 cm
  • 分類
  • 親書誌ID
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