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Problemy Peredachi Informatsii, 2010, Volume 46, Issue 1, Pages 25–41 (Mi ppi2008)  
This article is cited in 3 scientific papers (total in 3 papers)

Methods of Signal Processing

Nonparametric semirecursive identification in a wide sense of strong mixing processes

A. V. Kitaevaa, G. M. Koshkinbc

a Tomsk Polytechnic University
b Tomsk State University
c Department of Informatization Problems, Tomsk Scientific Center, Siberian Branch of the Russian Academy of Sciences
Full-text PDF (332 kB) Citations (3)
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Abstract: We find principal parts of asymptotic mean-square errors of semirecursive nonparametric estimators of functionals of a multidimensional density function under the assumption that observations satisfy a strong mixing condition. Results are illustrated by an example of a nonlinear autoregression process.
Received: 21.01.2009
Revised: 13.11.2009
English version:
Problems of Information Transmission, 2010, Volume 46, Issue 1, Pages 22–37
DOI: https://doi.org/10.1134/S0032946010010047
Bibliographic databases:
Document Type: Article
UDC: 621.391.1+519.2
Language: Russian
Citation: A. V. Kitaeva, G. M. Koshkin, “Nonparametric semirecursive identification in a wide sense of strong mixing processes”, Probl. Peredachi Inf., 46:1 (2010), 25–41; Problems Inform. Transmission, 46:1 (2010), 22–37
Citation in format AMSBIB
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    • This publication is cited in the following 3 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Проблемы передачи информации Problems of Information Transmission
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    References:80
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