Limit Theorems for Stochastic Processes /

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...

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Bibliographic Details
Main Author: Jacod, Jean
Corporate Author: SpringerLink (Online service)
Other Authors: Shiri︠a︡ev, A. N. (Alʹbert Nikolaevich)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 1987.
Series:Grundlehren der mathematischen Wissenschaften, A Series of Comprehensive Studies in Mathematics ; 288.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary: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.
Item Description:Electronic resource.
Physical Description:1 online resource (xvii, 604 pages)
ISBN:9783662025147 (electronic bk.)
3662025140 (electronic bk.)
ISSN:0072-7830 ;