Lévy measures of infinitely divisible random vectors and Slepian inequalities
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Published version
Date
1994-10
DOI
Authors
Samorodnitsky, Gennady
Taqqu, Murad S.
Version
OA Version
Citation
Gennady Samorodnitsky, Murad S Taqqu. 1994. "Lévy Measures of Infinitely Divisible Random Vectors and Slepian Inequalities." The Annals of Probability, Volume 22, pp. 1930 - 1956. https://doi.org/10.1214/aop/1176988490
Abstract
We study Slepian inequalities for general non-Gaussian infinitely divisible random vectors. Conditions for such inequalities are expressed in terms of the corresponding Levy measures of these vectors. These conditions are shown to be nearly best possible, and for a large subfamily of infinitely divisible random vectors these conditions are necessary and sufficient for Slepian inequalities. As an application we consider symmetric αα\textbackslashalpha-stable Ornstein-Uhlenbeck processes and a family of infinitely divisible random vectors introduced by Brown and Rinott.
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© 1994 Institute of Mathematical Statistics