General inverse problems for regular variation

Ewa Damek, Thomas Valentin Mikosch, Jan Rosinski, Gennady Samorodnitsky

6 Citations (Scopus)
434 Downloads (Pure)

Abstract

Regular variation of distributional tails is known to be preserved by various linear transformations of some random structures. An inverse problem for regular variation aims at understanding whether the regular variation of a transformed random object is caused by regular variation of components of the original random structure. In this paper we build on previous work, and derive results in the multivariate case and in situations where regular variation is not restricted to one particular direction or quadrant.
Original languageEnglish
JournalJournal of Applied Probability
Volume51A
Pages (from-to)229-248
ISSN0021-9002
DOIs
Publication statusPublished - 1 Dec 2014

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