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Titlebook: Dependence in Probability and Statistics; Patrice Bertail,Philippe Soulier,Paul Doukhan Book 2006 Springer-Verlag New York 2006 Estimator.

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书目名称Dependence in Probability and Statistics
编辑Patrice Bertail,Philippe Soulier,Paul Doukhan
视频video
概述A series of papers related to the conference "Statistics for Dependent Data" held in Paris in January 2005
丛书名称Lecture Notes in Statistics
图书封面Titlebook: Dependence in Probability and Statistics;  Patrice Bertail,Philippe Soulier,Paul Doukhan Book 2006 Springer-Verlag New York 2006 Estimator.
描述The purpose of this book is to give a detailed account of some recent devel- ments in the ?eld of probability and statistics for dependent data. It covers a wide range of topics from Markov chains theory, weak dependence, dynamical system to strong dependence and their applications. The title of this book has been somehow borrowed from the book ”Dependence in Probability and Statistics: a Survey of Recent Result” edited by Ernst Eberlein and Murad S. Taqqu, Birkh¨ auser (1986), which could serve as an excellent prerequisite for reading this book. We hope that the reader will ?nd it as useful and stimulating as the previous one. This book was planned during a conference, entitled “STATDEP2005: Statistics for dependent data”, organized by the Statistical Laboratory of the CREST (Research Center in Economy and Statistics), in Paris/Malako?, under the auspices of the French State Statistical Institute, INSEE. See http://www.crest.fr/pageperso/statdep2005/home.htm for some r- rospective informations. However this book is not a conference proceeding. This conference has witnessed the rapid growth of contributions on dep- dent data in the probabilistic and statistical literature and the n
出版日期Book 2006
关键词Estimator; Gaussian process; Likelihood; Markov chain; Martingal; Martingale; Random variable; Rang; Varianc
版次1
doihttps://doi.org/10.1007/0-387-36062-X
isbn_softcover978-0-387-31741-0
isbn_ebook978-0-387-36062-1Series ISSN 0930-0325 Series E-ISSN 2197-7186
issn_series 0930-0325
copyrightSpringer-Verlag New York 2006
The information of publication is updating

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Dependence in Probability and Statistics978-0-387-36062-1Series ISSN 0930-0325 Series E-ISSN 2197-7186
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0930-0325 crest.fr/pageperso/statdep2005/home.htm for some r- rospective informations. However this book is not a conference proceeding. This conference has witnessed the rapid growth of contributions on dep- dent data in the probabilistic and statistical literature and the n978-0-387-31741-0978-0-387-36062-1Series ISSN 0930-0325 Series E-ISSN 2197-7186
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Regeneration-based statistics for Harris recurrent Markov chains
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Recent results on weak dependence for causal sequences. Statistical applications to dynamical system
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Parametrized Kantorovich-Rubinštein theorem and application to the coupling of random variables
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