Iryna Rozora, Yurii Mlavets, Olga Vasylyk, Volodymyr Polishchuk
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On Convergence of the Uniform Norm and Approximation for Stochastic Processes from the Space $${\textbf{F}}_\psi (\Omega )$$
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.
期刊介绍:
Journal of Theoretical Probability publishes high-quality, original papers in all areas of probability theory, including probability on semigroups, groups, vector spaces, other abstract structures, and random matrices. This multidisciplinary quarterly provides mathematicians and researchers in physics, engineering, statistics, financial mathematics, and computer science with a peer-reviewed forum for the exchange of vital ideas in the field of theoretical probability.