Local Properties Of Distributions Of Stochastic Functionals

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Local Properties of Distributions of Stochastic Functionals

Local Properties of Distributions of Stochastic Functionals
Author :
Publisher : American Mathematical Soc.
Total Pages : 208
Release :
ISBN-10 : 0821897837
ISBN-13 : 9780821897836
Rating : 4/5 (836 Downloads)

Book Synopsis Local Properties of Distributions of Stochastic Functionals by : Yu. A. Davydov, M. A. Lifshits, andN. V. Smorodina

Download or read book Local Properties of Distributions of Stochastic Functionals written by Yu. A. Davydov, M. A. Lifshits, andN. V. Smorodina and published by American Mathematical Soc.. This book was released on 1998-02-10 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book investigates the distributions of functionals defined on the sample paths of stochastic processes. It contains systematic exposition and applications of three general research methods developed by the authors. (i) The method of stratifications is used to study the problem of absolute continuity of distribution for different classes of functionals under very mild smoothness assumptions. It can be used also for evaluation of the distribution density of the functional. (ii) The method of differential operators is based on the abstract formalism of differential calculus and proves to be a powerful tool for the investigation of the smoothness properties of the distributions. (iii) The superstructure method, which is a later modification of the method of stratifications, is used to derive strong limit theorems (in the variation metric) for the distributions of stochastic functionals under weak convergence of the processes. Various application examples concern the functionals of Gaussian, Poisson and diffusion processes as well as partial sum processes from the Donsker-Prokhorov scheme. The research methods and basic results in this book are presented here in monograph form for the first time. The text would be suitable for a graduate course in the theory of stochastic processes and related topics.


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