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

Iryna Rozora (), Yurii Mlavets (), Olga Vasylyk () and Volodymyr Polishchuk ()
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Iryna Rozora: Taras Shevchenko National University of Kyiv
Yurii Mlavets: Uzhhorod National University
Olga Vasylyk: National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”
Volodymyr Polishchuk: Uzhhorod National University

Journal of Theoretical Probability, 2024, vol. 37, issue 2, 1627-1653

Abstract: Abstract In this paper, we consider random variables and stochastic processes from the space $${\textbf{F}}_\psi (\Omega )$$ F ψ ( Ω ) and study approximation problems for such processes. The method of series decomposition of a stochastic process from $${\textbf{F}}_\psi (\Omega )$$ F ψ ( Ω ) 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.

Keywords: Approximation for stochastic processes; Model; Simulation; Series decomposition; The space $${\textbf{F}}_\psi (\Omega )$$ F ψ ( Ω ); 60G07; 60G15; 65C20; 68U20 (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10959-023-01309-x

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