Nonlinearly perturbed stochastic processes

This paper is a survey of results presented in the recent book [25]). This book is devoted to studies of quasi-stationary phenomena in nonlinearly perturbed stochastic systems. New methods of asymptotic analysis for nonlinearly perturbed stochastic processes based on new types of asymptotic expansio...

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Дата:2008
Автор: Silvestrov, D.
Формат: Стаття
Мова:English
Опубліковано: Інститут математики НАН України 2008
Онлайн доступ:https://nasplib.isofts.kiev.ua/handle/123456789/4574
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Назва журналу:Digital Library of Periodicals of National Academy of Sciences of Ukraine
Цитувати:Nonlinearly perturbed stochastic processes / D. Silvestrov // Theory of Stochastic Processes. — 2008. — Т. 14 (30), № 3-4. — С. 129-164. — Бібліогр.: 77 назв.— англ.

Репозитарії

Digital Library of Periodicals of National Academy of Sciences of Ukraine
id nasplib_isofts_kiev_ua-123456789-4574
record_format dspace
spelling Silvestrov, D.
2009-12-07T15:39:12Z
2009-12-07T15:39:12Z
2008
Nonlinearly perturbed stochastic processes / D. Silvestrov // Theory of Stochastic Processes. — 2008. — Т. 14 (30), № 3-4. — С. 129-164. — Бібліогр.: 77 назв.— англ.
0321-3900
https://nasplib.isofts.kiev.ua/handle/123456789/4574
This paper is a survey of results presented in the recent book [25]). This book is devoted to studies of quasi-stationary phenomena in nonlinearly perturbed stochastic systems. New methods of asymptotic analysis for nonlinearly perturbed stochastic processes based on new types of asymptotic expansions for perturbed renewal equation and recurrence algorithms for construction of asymptotic expansions for Markov type processes with absorption are presented. Asymptotic expansions are given in mixed ergodic (for processes) and large deviation theorems (for absorption times) for nonlinearly perturbed regenerative processes, semi-Markov processes, and Markov chains. Applications to analysis of quasi-stationary phenomena in nonlinearly perturbed queueing systems, population dynamics and epidemic models, and risk processes are presented. The book also contains an extended bibliography of works in the area.
en
Інститут математики НАН України
Nonlinearly perturbed stochastic processes
Article
published earlier
institution Digital Library of Periodicals of National Academy of Sciences of Ukraine
collection DSpace DC
title Nonlinearly perturbed stochastic processes
spellingShingle Nonlinearly perturbed stochastic processes
Silvestrov, D.
title_short Nonlinearly perturbed stochastic processes
title_full Nonlinearly perturbed stochastic processes
title_fullStr Nonlinearly perturbed stochastic processes
title_full_unstemmed Nonlinearly perturbed stochastic processes
title_sort nonlinearly perturbed stochastic processes
author Silvestrov, D.
author_facet Silvestrov, D.
publishDate 2008
language English
publisher Інститут математики НАН України
format Article
description This paper is a survey of results presented in the recent book [25]). This book is devoted to studies of quasi-stationary phenomena in nonlinearly perturbed stochastic systems. New methods of asymptotic analysis for nonlinearly perturbed stochastic processes based on new types of asymptotic expansions for perturbed renewal equation and recurrence algorithms for construction of asymptotic expansions for Markov type processes with absorption are presented. Asymptotic expansions are given in mixed ergodic (for processes) and large deviation theorems (for absorption times) for nonlinearly perturbed regenerative processes, semi-Markov processes, and Markov chains. Applications to analysis of quasi-stationary phenomena in nonlinearly perturbed queueing systems, population dynamics and epidemic models, and risk processes are presented. The book also contains an extended bibliography of works in the area.
issn 0321-3900
url https://nasplib.isofts.kiev.ua/handle/123456789/4574
citation_txt Nonlinearly perturbed stochastic processes / D. Silvestrov // Theory of Stochastic Processes. — 2008. — Т. 14 (30), № 3-4. — С. 129-164. — Бібліогр.: 77 назв.— англ.
work_keys_str_mv AT silvestrovd nonlinearlyperturbedstochasticprocesses
first_indexed 2025-11-28T10:21:31Z
last_indexed 2025-11-28T10:21:31Z
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