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Titlebook: Large Deviations Techniques and Applications; Amir Dembo,Ofer Zeitouni Textbook 2010Latest edition Springer-Verlag Berlin Heidelberg 2010

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樓主
發(fā)表于 2025-3-21 17:24:16 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Large Deviations Techniques and Applications
編輯Amir Dembo,Ofer Zeitouni
視頻videohttp://file.papertrans.cn/582/581326/581326.mp4
概述Written by two of the leading researchers in the field.Applications come from a wide range of areas, including electrical engineering and DNA sequencing.This second edition includes three new sections
叢書名稱Stochastic Modelling and Applied Probability
圖書封面Titlebook: Large Deviations Techniques and Applications;  Amir Dembo,Ofer Zeitouni Textbook 2010Latest edition Springer-Verlag Berlin Heidelberg 2010
描述.Large deviation estimates have proved to be the crucial tool required to handle many questions in statistics, engineering, statistial mechanics, and applied probability. Amir Dembo and Ofer Zeitouni, two of the leading researchers in the field, provide an introduction to the theory of large deviations and applications at a level suitable for graduate students. The mathematics is rigorous and the applications come from a wide range of areas, including electrical engineering and DNA sequences...The second edition, printed in 1998, included new material on concentration inequalities and the metric and weak convergence approaches to large deviations. General statements and applications were sharpened, new exercises added, and the bibliography updated. The present soft cover edition is a corrected printing of the 1998 edition. .
出版日期Textbook 2010Latest edition
關鍵詞Area; DEX; DNA; Rang; Sharp; convergence; electrical engineering; field; large deviations; mathematics; mechan
版次2
doihttps://doi.org/10.1007/978-3-642-03311-7
isbn_softcover978-3-642-03310-0
isbn_ebook978-3-642-03311-7Series ISSN 0172-4568 Series E-ISSN 2197-439X
issn_series 0172-4568
copyrightSpringer-Verlag Berlin Heidelberg 2010
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 23:18:49 | 只看該作者
Textbook 2010Latest editionic and weak convergence approaches to large deviations. General statements and applications were sharpened, new exercises added, and the bibliography updated. The present soft cover edition is a corrected printing of the 1998 edition. .
板凳
發(fā)表于 2025-3-22 01:06:44 | 只看該作者
Sample Path Large Deviations,d the diffusion case follows by suitable approximate contractions. The range of applications presented in this chapter is also representative: stochastic dynamical systems (Sections 5.4, 5.7, and 5.8), DNA matching problems and statistical change point questions (Section 5.5).
地板
發(fā)表于 2025-3-22 05:21:25 | 只看該作者
Textbook 2010Latest editionapplied probability. Amir Dembo and Ofer Zeitouni, two of the leading researchers in the field, provide an introduction to the theory of large deviations and applications at a level suitable for graduate students. The mathematics is rigorous and the applications come from a wide range of areas, incl
5#
發(fā)表于 2025-3-22 10:51:39 | 只看該作者
LDP for Finite Dimensional Spaces,hat are much weaker than those that will be imposed in the “general” theory. Many of the results presented here have counterparts in the infinite dimensional context dealt with later, starting in Chapter 4.
6#
發(fā)表于 2025-3-22 16:28:28 | 只看該作者
General Principles,r attention on the abstract statement of the LDP as presented in Section 1.2 and give conditions for the existence of such a principle and various approaches for the identification of the resulting rate function.
7#
發(fā)表于 2025-3-22 20:05:10 | 只看該作者
https://doi.org/10.1007/978-3-642-03311-7Area; DEX; DNA; Rang; Sharp; convergence; electrical engineering; field; large deviations; mathematics; mechan
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發(fā)表于 2025-3-22 23:42:40 | 只看該作者
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發(fā)表于 2025-3-23 05:25:31 | 只看該作者
Applications of Empirical Measures LDP,In this chapter, we revisit three applications considered in Chapters 2 and 3 in the finite alphabet setup. Equipped with Sanov’s theorem and the projective limit approach, the general case (Σ Polish) is treated here.
10#
發(fā)表于 2025-3-23 07:04:26 | 只看該作者
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