Minimax Estimation Problem for Periodically Correlated Stochastic Processes

Fuente: arXiv
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Autores principales: Dubovets'ka, Iryna, Moklyachuk, Mykhailo
Formato: Preprint
Publicado: 2025
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author Dubovets'ka, Iryna
Moklyachuk, Mykhailo
author_facet Dubovets'ka, Iryna
Moklyachuk, Mykhailo
contents The problem of optimal linear estimation of linear functionals depending on the unknown values of a periodically correlated stochastic process from observations of the process with additive noise is considered. Formulas for calculating the mean square error and the spectral characteristic of the optimal linear estimate of the functionals are proposed in the case where spectral densities are exactly known and in the case where the spectral densities are unknown while a class of admissible spectral densities is given. Formulas that determine the least favorable spectral densities and the minimax (robust) spectral characteristics are proposed for a given class of admissible spectral densities.
format Preprint
id arxiv_https___arxiv_org_abs_2510_14033
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Minimax Estimation Problem for Periodically Correlated Stochastic Processes
Dubovets'ka, Iryna
Moklyachuk, Mykhailo
Statistics Theory
60G25, 62M20, 93E10
The problem of optimal linear estimation of linear functionals depending on the unknown values of a periodically correlated stochastic process from observations of the process with additive noise is considered. Formulas for calculating the mean square error and the spectral characteristic of the optimal linear estimate of the functionals are proposed in the case where spectral densities are exactly known and in the case where the spectral densities are unknown while a class of admissible spectral densities is given. Formulas that determine the least favorable spectral densities and the minimax (robust) spectral characteristics are proposed for a given class of admissible spectral densities.
title Minimax Estimation Problem for Periodically Correlated Stochastic Processes
topic Statistics Theory
60G25, 62M20, 93E10
url https://arxiv.org/abs/2510.14033