Minimax-robust estimation problems for stationary stochastic sequences

Fuente: arXiv
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Main Author: Moklyachuk, Mikhail
Format: Preprint
Published: 2024
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author Moklyachuk, Mikhail
author_facet Moklyachuk, Mikhail
contents This survey provides an overview of optimal estimation of linear functionals which depend on the unknown values of a stationary stochastic sequence. Based on observations of the sequence without noise as well as observations of the sequence with a stationary noise, estimates could be obtained. Formulas for calculating the spectral characteristics and the mean-square errors of the optimal estimates of functionals are derived in the case of spectral certainty, where spectral densities of the sequences are exactly known. In the case of spectral uncertainty, where spectral densities of the sequences are not known exactly while sets of admissible spectral densities are given, the minimax-robust method of estimation is applied. Formulas that determine the least favourable spectral densities and the minimax spectral characteristics of estimates are presented for some special classes of admissible spectral densities.
format Preprint
id arxiv_https___arxiv_org_abs_2406_17917
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Minimax-robust estimation problems for stationary stochastic sequences
Moklyachuk, Mikhail
Statistics Theory
Primary: 60G10, 60G25, 60G35, Secondary: 62M20, 62P20, 93E10, 93E11
This survey provides an overview of optimal estimation of linear functionals which depend on the unknown values of a stationary stochastic sequence. Based on observations of the sequence without noise as well as observations of the sequence with a stationary noise, estimates could be obtained. Formulas for calculating the spectral characteristics and the mean-square errors of the optimal estimates of functionals are derived in the case of spectral certainty, where spectral densities of the sequences are exactly known. In the case of spectral uncertainty, where spectral densities of the sequences are not known exactly while sets of admissible spectral densities are given, the minimax-robust method of estimation is applied. Formulas that determine the least favourable spectral densities and the minimax spectral characteristics of estimates are presented for some special classes of admissible spectral densities.
title Minimax-robust estimation problems for stationary stochastic sequences
topic Statistics Theory
Primary: 60G10, 60G25, 60G35, Secondary: 62M20, 62P20, 93E10, 93E11
url https://arxiv.org/abs/2406.17917