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Informatika i Ee Primeneniya [Informatics and its Applications], 2011, Volume 5, Issue 3, Pages 67–73 (Mi ia161)  
This article is cited in 1 scientific paper (total in 1 paper)

On one kernel density estimator

V. G. Ushakovab, N. G. Ushakovc

a Institute for Problems of Informatics RAS
b M. V. Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics
c Institute of Microelectronics Technology and High Purity Materials, Russian Academy of Sciences
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Abstract: The kernel density estimator based on the sinc kernel is investigated. The main attention is paid to the analysis of the integrated mean squared for finite sample sizes (nanosymptotic). The problems of estimation of the mode and of estimation of density derivatives are also considered.
Keywords: nonparametric density estimator; kernel estimator; kernel of infinite order.
Document Type: Article
Language: Russian
Citation: V. G. Ushakov, N. G. Ushakov, “On one kernel density estimator”, Inform. Primen., 5:3 (2011), 67–73
Citation in format AMSBIB
\Bibitem{UshUsh11}
\by V.~G.~Ushakov, N.~G.~Ushakov
\paper On one kernel density estimator
\jour Inform. Primen.
\yr 2011
\vol 5
\issue 3
\pages 67--73
\mathnet{http://mi.mathnet.ru/ia161}
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  • https://www.mathnet.ru/eng/ia/v5/i3/p67
    • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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