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Problemy Peredachi Informatsii, 1992, Volume 28, Issue 2, Pages 3–15 (Mi ppi1341)  
This article is cited in 3 scientific papers (total in 3 papers)

Methods of Signal Processing

Asymptotic Minimax Estimation of Regression in the Additive Model

G. K. Golubev
Full-text PDF (1828 kB) Citations (3)
Abstract: Adaptive estimators of smooth regression functions that are asymptotically minimax in the sense of the quadratic criterion are constructed in the additive model with adaptive choice of the basis.
Received: 12.04.1991
Revised: 24.05.1991
Bibliographic databases:
Document Type: Article
UDC: 621.391.1:519.27
Language: Russian
Citation: G. K. Golubev, “Asymptotic Minimax Estimation of Regression in the Additive Model”, Probl. Peredachi Inf., 28:2 (1992), 3–15; Problems Inform. Transmission, 28:2 (1992), 101–112
Citation in format AMSBIB
\Bibitem{Gol92}
\by G.~K.~Golubev
\paper Asymptotic Minimax Estimation of Regression in the Additive Model
\jour Probl. Peredachi Inf.
\yr 1992
\vol 28
\issue 2
\pages 3--15
\mathnet{http://mi.mathnet.ru/ppi1341}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=1178413}
\zmath{https://zbmath.org/?q=an:0789.62011}
\transl
\jour Problems Inform. Transmission
\yr 1992
\vol 28
\issue 2
\pages 101--112
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  • https://www.mathnet.ru/eng/ppi1341
  • https://www.mathnet.ru/eng/ppi/v28/i2/p3
    • 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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