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Pisma v Zhurnal Tekhnicheskoi Fiziki, 2016, Volume 42, Issue 16, Pages 21–25 (Mi pjtf6324)  
This article is cited in 6 scientific papers (total in 6 papers)

Gibbs sampler optimization for analysis of a granulated medium

S. N. Koltsov, S. I. Nikolenko, E. Yu. Koltsova

National Research University "Higher School of Economics", St. Petersburg Branch
Full-text PDF (73 kB) Citations (6)
Abstract: A new variant of the method of probability density distribution recovery for solving topical modeling problems is described. Disadvantages of the Gibbs sampling algorithm are considered, and a modified variant, called the “granulated sampling method”, is proposed. Based on the results of statistical modeling, it is shown that the proposed algorithm is characterized by higher stability as compared to other variants of Gibbs sampling.
Received: 26.02.2016
English version:
Technical Physics Letters, 2016, Volume 42, Issue 8, Pages 837–839
DOI: https://doi.org/10.1134/S1063785016080241
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: S. N. Koltsov, S. I. Nikolenko, E. Yu. Koltsova, “Gibbs sampler optimization for analysis of a granulated medium”, Pisma v Zhurnal Tekhnicheskoi Fiziki, 42:16 (2016), 21–25; Tech. Phys. Lett., 42:8 (2016), 837–839
Citation in format AMSBIB
\Bibitem{KolNikKol16}
\by S.~N.~Koltsov, S.~I.~Nikolenko, E.~Yu.~Koltsova
\paper Gibbs sampler optimization for analysis of a granulated medium
\jour Pisma v Zhurnal Tekhnicheskoi Fiziki
\yr 2016
\vol 42
\issue 16
\pages 21--25
\mathnet{http://mi.mathnet.ru/pjtf6324}
\elib{https://elibrary.ru/item.asp?id=27368291}
\transl
\jour Tech. Phys. Lett.
\yr 2016
\vol 42
\issue 8
\pages 837--839
\crossref{https://doi.org/10.1134/S1063785016080241}
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    • This publication is cited in the following 6 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
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