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Sibirskii Zhurnal Vychislitel'noi Matematiki, 2009, Volume 12, Number 4, Pages 361–374 (Mi sjvm132)  
This article is cited in 7 scientific papers (total in 7 papers)

Statistical simulation methods for a nonhomogeneous Poisson ensemble

T. A. Averinaab

a Institute of Computational Mathematics and Mathematical Geophysics (Computing Center), Siberian Branch of the Russian Academy of Sciences
b Novosibirsk State University, Novosibirsk
Full-text PDF (268 kB) Citations (7)
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Abstract: In this paper, some Monte-Carlo methods for modeling homogeneous and nonhomogeneous Poisson ensembles are offered. Generalization of the Maximum Cross-section Method is constructed and proved for modeling nonhomogeneous Poisson ensembles of points.
Key words: Poisson random process, Poisson ensemble, stochastic differential equations, Monte-Carlo methods.
Received: 04.12.2008
Revised: 03.02.2009
English version:
Numerical Analysis and Applications, 2009, Volume 2, Issue 4, Pages 289–301
DOI: https://doi.org/10.1134/S1995423909040016
Bibliographic databases:
UDC: 519.245
Language: Russian
Citation: T. A. Averina, “Statistical simulation methods for a nonhomogeneous Poisson ensemble”, Sib. Zh. Vychisl. Mat., 12:4 (2009), 361–374; Num. Anal. Appl., 2:4 (2009), 289–301
Citation in format AMSBIB
\Bibitem{Ave09}
\by T.~A.~Averina
\paper Statistical simulation methods for a~nonhomogeneous Poisson ensemble
\jour Sib. Zh. Vychisl. Mat.
\yr 2009
\vol 12
\issue 4
\pages 361--374
\mathnet{http://mi.mathnet.ru/sjvm132}
\transl
\jour Num. Anal. Appl.
\yr 2009
\vol 2
\issue 4
\pages 289--301
\crossref{https://doi.org/10.1134/S1995423909040016}
\scopus{https://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-77952840707}
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    • This publication is cited in the following 7 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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