V. Yu. Korolev, A. Yu. Korchagin, O. A. Moreva, “Nonparametric estimation of the density of a mixture of probability laws”, Sistemy i Sredstva Inform., 22:2 (2012), 197

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Sistemy i Sredstva Informatiki [Systems and Means of Informatics], 2012, Volume 22, Issue 2, Pages 197–226 (Mi ssi287)

This article is cited in 3 scientific papers (total in 3 papers)

Nonparametric estimation of the density of a mixture of probability laws

V. Yu. Korolev^ab, A. Yu. Korchagin^b, O. A. Moreva^c

^a IPI RAN
^b M. V. Lomonosov Moscow State University
^c Ulm University, Germany

Full-text PDF (903 kB) Citations (3)

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Abstract: Kernel estimates of probability densities are empirically compared with the estimates obtained by some versions of the EM (expectation-maximization) algorithm on artificial samples generated from various classes of probability distributions. A grid modification of the EM-algorithm is also considered.

Keywords: kernel density estimator; EM-algorithm; grid method of separation of mixtures.

Document Type: Article

Language: Russian

Citation: V. Yu. Korolev, A. Yu. Korchagin, O. A. Moreva, “Nonparametric estimation of the density of a mixture of probability laws”, Sistemy i Sredstva Inform., 22:2 (2012), 197–226

Citation in format AMSBIB

\Bibitem{KorKorMor12}

\by V.~Yu.~Korolev, A.~Yu.~Korchagin, O.~A.~Moreva

\paper Nonparametric estimation of~the~density of~a~mixture of~probability laws

\jour Sistemy i Sredstva Inform.

\yr 2012

\vol 22

\issue 2

\pages 197--226

\mathnet{http://mi.mathnet.ru/ssi287}

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https://www.mathnet.ru/eng/ssi287

https://www.mathnet.ru/eng/ssi/v22/i2/p197

This publication is cited in the following 3 articles:

Citing articles in Google Scholar: Russian citations, English citations
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