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Limit Theorems for Stochastic Processes

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  • © 2003

Overview

Part of the book series: Grundlehren der mathematischen Wissenschaften (GL, volume 288)

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Table of contents (10 chapters)

Keywords

About this book

Initially the theory of convergence in law of stochastic processes was developed quite independently from the theory of martingales, semimartingales and stochastic integrals. Apart from a few exceptions essentially concerning diffusion processes, it is only recently that the relation between the two theories has been thoroughly studied. The authors of this Grundlehren volume, two of the international leaders in the field, propose a systematic exposition of convergence in law for stochastic processes, from the point of view of semimartingale theory, with emphasis on results that are useful for mathematical theory and mathematical statistics. This leads them to develop in detail some particularly useful parts of the general theory of stochastic processes, such as martingale problems, and absolute continuity or contiguity results. The book contains an introduction to the theory of martingales and semimartingales, random measures stochastic integrales, Skorokhod topology, etc., as well asa large number of results which have never appeared in book form, and some entirely new results. The second edition contains some additions to the text and references. Some parts are completely rewritten.

Authors and Affiliations

  • Laboratoire de Probabilités, Université Paris VI, Paris Cedex 05, France

    Jean Jacod

  • Russian Academy of Sciences, Steklov Mathematical Institute, Moscow, Russia

    Albert N. Shiryaev

Bibliographic Information

  • Book Title: Limit Theorems for Stochastic Processes

  • Authors: Jean Jacod, Albert N. Shiryaev

  • Series Title: Grundlehren der mathematischen Wissenschaften

  • DOI: https://doi.org/10.1007/978-3-662-05265-5

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag GmbH Germany 2003

  • Hardcover ISBN: 978-3-540-43932-5Published: 10 October 2002

  • Softcover ISBN: 978-3-642-07876-7Published: 18 December 2010

  • eBook ISBN: 978-3-662-05265-5Published: 09 March 2013

  • Series ISSN: 0072-7830

  • Series E-ISSN: 2196-9701

  • Edition Number: 2

  • Number of Pages: XX, 664

  • Topics: Probability Theory and Stochastic Processes

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