Interpolation of functionals of stochastic sequences with stationary increments from observations with noise

Fuente: arXiv
Enregistré dans:
Détails bibliographiques
Auteurs principaux: Luz, Maksym, Moklyachuk, Mykhailo
Format: Preprint
Publié: 2025
Sujets:
Accès en ligne:
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1866911234024013824
author Luz, Maksym
Moklyachuk, Mykhailo
author_facet Luz, Maksym
Moklyachuk, Mykhailo
contents The problem of optimal estimation of linear functional ${{A}_{N}}ξ=\sum\limits_{k=0}^{N}{a(k)ξ(k)}\,$ depending on the unknown values of a stochastic sequence $ξ(m)$ with stationary $n$-th increments from observations of the sequence $ξ(k)$ at points $k=-1,-2,\ldots $ and of the sequence $ξ(k)+η(k)$ at points of time $k=N+1,N+2,\ldots $ is considered. Formulas for calculating the mean square error and the spectral characteristic of the optimal linear estimate of the functional are proposed under condition of spectral certainty, where spectral densities of the sequences $ξ(m)$ and $η(m)$ are exactly known. Minimax (robust) method of estimation is applied in the case where the spectral densities are not known exactly while some sets of admissible spectral densities are given. Formulas that determine the least favorable spectral densities and the minimax spectral characteristics are proposed for some specific sets of admissible densities.
format Preprint
id arxiv_https___arxiv_org_abs_2510_22764
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Interpolation of functionals of stochastic sequences with stationary increments from observations with noise
Luz, Maksym
Moklyachuk, Mykhailo
Statistics Theory
60G10, 60G25, 60G35, 62M20, 93E10
The problem of optimal estimation of linear functional ${{A}_{N}}ξ=\sum\limits_{k=0}^{N}{a(k)ξ(k)}\,$ depending on the unknown values of a stochastic sequence $ξ(m)$ with stationary $n$-th increments from observations of the sequence $ξ(k)$ at points $k=-1,-2,\ldots $ and of the sequence $ξ(k)+η(k)$ at points of time $k=N+1,N+2,\ldots $ is considered. Formulas for calculating the mean square error and the spectral characteristic of the optimal linear estimate of the functional are proposed under condition of spectral certainty, where spectral densities of the sequences $ξ(m)$ and $η(m)$ are exactly known. Minimax (robust) method of estimation is applied in the case where the spectral densities are not known exactly while some sets of admissible spectral densities are given. Formulas that determine the least favorable spectral densities and the minimax spectral characteristics are proposed for some specific sets of admissible densities.
title Interpolation of functionals of stochastic sequences with stationary increments from observations with noise
topic Statistics Theory
60G10, 60G25, 60G35, 62M20, 93E10
url https://arxiv.org/abs/2510.22764