Application of the theory of square-Gaussian processes to simulation of stochastic processes

In the paper the simulation of stochastic processes is considered. For this purpose the estimation for distribution of supremum of square-Gaussian processes is found. The theorems are proved that give the conditions
 under which the constructed model approximates stochastic process in Banach...

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Date:2006
Main Authors: Kozachenko, Y., Rozora, I.
Format: Article
Language:English
Published: Інститут математики НАН України 2006
Online Access:https://nasplib.isofts.kiev.ua/handle/123456789/4456
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Journal Title:Digital Library of Periodicals of National Academy of Sciences of Ukraine
Cite this:Application of the theory of square-Gaussian processes to simulation of stochastic processes / Y. Kozachenko, I. Rozora // Theory of Stochastic Processes. — 2006. — Т. 12 (28), № 3-4. — С. 43–54. — Бібліогр.: 9 назв.— англ.

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Digital Library of Periodicals of National Academy of Sciences of Ukraine
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author Kozachenko, Y.
Rozora, I.
author_facet Kozachenko, Y.
Rozora, I.
citation_txt Application of the theory of square-Gaussian processes to simulation of stochastic processes / Y. Kozachenko, I. Rozora // Theory of Stochastic Processes. — 2006. — Т. 12 (28), № 3-4. — С. 43–54. — Бібліогр.: 9 назв.— англ.
collection DSpace DC
description In the paper the simulation of stochastic processes is considered. For this purpose the estimation for distribution of supremum of square-Gaussian processes is found. The theorems are proved that give the conditions
 under which the constructed model approximates stochastic process in Banach space with given accuracy and reliability. The obtained results can be widely used in actuarial science and financial mathematics.
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institution Digital Library of Periodicals of National Academy of Sciences of Ukraine
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language English
last_indexed 2025-12-01T11:00:18Z
publishDate 2006
publisher Інститут математики НАН України
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spelling Kozachenko, Y.
Rozora, I.
2009-11-11T15:19:34Z
2009-11-11T15:19:34Z
2006
Application of the theory of square-Gaussian processes to simulation of stochastic processes / Y. Kozachenko, I. Rozora // Theory of Stochastic Processes. — 2006. — Т. 12 (28), № 3-4. — С. 43–54. — Бібліогр.: 9 назв.— англ.
0321-3900
https://nasplib.isofts.kiev.ua/handle/123456789/4456
In the paper the simulation of stochastic processes is considered. For this purpose the estimation for distribution of supremum of square-Gaussian processes is found. The theorems are proved that give the conditions
 under which the constructed model approximates stochastic process in Banach space with given accuracy and reliability. The obtained results can be widely used in actuarial science and financial mathematics.
en
Інститут математики НАН України
Application of the theory of square-Gaussian processes to simulation of stochastic processes
Article
published earlier
spellingShingle Application of the theory of square-Gaussian processes to simulation of stochastic processes
Kozachenko, Y.
Rozora, I.
title Application of the theory of square-Gaussian processes to simulation of stochastic processes
title_full Application of the theory of square-Gaussian processes to simulation of stochastic processes
title_fullStr Application of the theory of square-Gaussian processes to simulation of stochastic processes
title_full_unstemmed Application of the theory of square-Gaussian processes to simulation of stochastic processes
title_short Application of the theory of square-Gaussian processes to simulation of stochastic processes
title_sort application of the theory of square-gaussian processes to simulation of stochastic processes
url https://nasplib.isofts.kiev.ua/handle/123456789/4456
work_keys_str_mv AT kozachenkoy applicationofthetheoryofsquaregaussianprocessestosimulationofstochasticprocesses
AT rozorai applicationofthetheoryofsquaregaussianprocessestosimulationofstochasticprocesses