Every symmetric weakly-stable random vector is pseudo-isotropic

DOI10.1016/j.jmaa.2019.123575zbMath1471.60069OpenAlexW2979821906WikidataQ127122473 ScholiaQ127122473MaRDI QIDQ2009302

Jolanta K. Misiewicz, V. Eh. Vol'kovich

Publication date: 28 November 2019

Published in: Journal of Mathematical Analysis and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmaa.2019.123575

zbMATH Keywords

symmetric stable distributiongeneralized and weak generalized convolutiongeneralized characteristic functions and integral transformsmeasures with multidimensional versionpseudo-isotropic random vectorweakly-stable distribution

Mathematics Subject Classification ID

Random operators and equations (aspects of stochastic analysis) (60H25) Stable stochastic processes (60G52) Probability theory on linear topological spaces (60B11) Probability measures on groups or semigroups, Fourier transforms, factorization (60B15)

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Asymptotic properties of extremal Markov processes driven by Kendall convolution ⋮ How exceptional is the extremal Kendall and Kendall-type convolution

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