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This article is cited in 2 scientific papers (total in 2 papers)
On convergence of random sums of independent random vectors to multivariate generalized variance-gamma distributions
A. Yu. Korchagin Faculty of Computational Mathematics and Cybernetics, M. V. Lomonosov Moscow State University, 1-52 Leninskiye Gory, GSP-1, Moscow 119991, Russian Federation
Abstract:
The purpose of this work is to describe the conditions for convergence of the distributions for sums of a random number of independent not necessarily identically distributed multivariate random variables to multivariate normal variance-mean mixtures, in particular, to multivariate generalized variance-gamma distributions.
Keywords:
random sum; multivariate normal variance-mean mixture; multivariate generalized hyperbolic distribution; multivariate generalized variance-gamma distribution; generalized inverse Gaussian distribution; generalized gamma distribution.
Received: 02.03.2015
Citation:
A. Yu. Korchagin, “On convergence of random sums of independent random vectors to multivariate generalized variance-gamma distributions”, Sistemy i Sredstva Inform., 25:1 (2015), 127–141
Linking options:
https://www.mathnet.ru/eng/ssi397 https://www.mathnet.ru/eng/ssi/v25/i1/p127
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