On Convergence of the Uniform Norm and Approximation for Stochastic Processes from the Space $${\textbf{F}}_\psi (\Omega )$$

Pub Date : 2023-12-20 DOI:10.1007/s10959-023-01309-x
Iryna Rozora, Yurii Mlavets, Olga Vasylyk, Volodymyr Polishchuk
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Abstract

In this paper, we consider random variables and stochastic processes from the space \({\textbf{F}}_\psi (\Omega )\) and study approximation problems for such processes. The method of series decomposition of a stochastic process from \({\textbf{F}}_\psi (\Omega )\) is used to find an approximating process called a model. The rate of convergence of the model to the process in the uniform norm is investigated. We develop an approach for estimating the cut-off level of the model under given accuracy and reliability of the simulation.

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论来自 $${textbf{F}}_\psi (\Omega )$$ 空间的随机过程的统一规范和逼近的收敛性
在本文中,我们考虑了来自空间 \({\textbf{F}}_\psi (\Omega )\ 的随机变量和随机过程,并研究了这些过程的近似问题。从 \({\textbf{F}}_\psi (\Omega )\) 中对随机过程进行数列分解的方法被用来寻找一种称为模型的近似过程。我们研究了模型对统一规范过程的收敛率。我们开发了一种方法,用于在给定模拟精度和可靠性的条件下估计模型的截止水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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