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Limit theorems for stochastic processes

Limit theorems for stochastic processes

by Jean Jacod

Limit theorems (Probability theory)Semimartingales (Mathematics)ProbabilitiesStochastic processesMathematics
0.0
Open Library
Open Library

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 elementary introduction to the main topics: theory of martingales and stochastic integrales, Skorokhod topology, etc., as well as a large number of results which have never appeared in book form, and some entirely new results. It should be useful to the professional probabilist or mathematical statistician, and of interest also to graduate students.

Themes & subjects

Limit theorems (Probability theory)Semimartingales (Mathematics)ProbabilitiesStochastic processesMathematicsDistribution (Probability theory)

Author

Jean Jacod

Pages

604

Read time

≈ 15h

Editions

4

Language

English

Publisher

Springer London, Limited

ISBN

9783662052655

Where to buy

TR
Amazon Bookshop

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