Minimax-robust estimation problems for sequences with periodically stationary increments observed with noise

Author:

Moklyachuk M. P.1ORCID,Luz M. M.2ORCID

Affiliation:

1. Taras Shevchenko National University of Kyiv

2. BNP Paribas Cardif

Abstract

The problem of optimal estimation of linear functionals constructed from the unobserved values of a stochastic sequence with periodically stationary increments based on observations of the sequence with stationary noise is considered. For sequences with known spectral densities, we obtain formulas for calculating values of the mean square errors and the spectral characteristics of the optimal estimates of the functionals. Formulas that determine the least favorable spectral densities and the minimax-robust spectral characteristics of the optimal linear estimates of functionals are proposed in the case where spectral densities of the sequence are not exactly known while some sets of admissible spectral densities are specified.

Publisher

Taras Shevchenko National University of Kyiv

Subject

Medical Assisting and Transcription,Medical Terminology

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. On estimation problem for continuous time stationary processes from observations in special sets of points;Bulletin of Taras Shevchenko National University of Kyiv. Series: Physics and Mathematics;2022

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