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JOURNALS // Informatika i Ee Primeneniya [Informatics and its Applications] // Archive

Inform. Primen., 2013 Volume 7, Issue 2, Pages 4–16 (Mi ia254)

This article is cited in 33 papers

Parametrical statistical and analytical modeling of distributions in nonlinear stochastic systems on manifolds

I. N. Sinitsyn

IPI RAN

Abstract: Discrete parametrical statistical and analytical modeling methods in nonlinear Ito stochastic systems on manifolds with Wiener and Poisson noises have been developed. For one- and multidimensional densities parametrization, the coefficients in orthogonal expansions of different orders are taken. Special attention is paid to nonlinear correlational theory of statistical and analytical modeling.

Keywords: analytical modeling; method of normal approximation; nonlinear correlational theory; nonlinear Ito stochastic system on manifold; orthogonal expansions method; parametrization of one- and multidimensional densities; statistical linearization method; statistical modeling.



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