Multivariate matrix Mittag–Leffler distributions

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

We extend the construction principle of multivariate phase-type distributions to establish an analytically tractable class of heavy-tailed multivariate random variables whose marginal distributions are of Mittag–Leffler type with arbitrary index of regular variation. The construction can essentially be seen as allowing a scalar parameter to become matrix-valued. The class of distributions is shown to be dense among all multivariate positive random variables and hence provides a versatile candidate for the modelling of heavy-tailed, but tail-independent, risks in various fields of application.

OriginalsprogEngelsk
TidsskriftAnnals of the Institute of Statistical Mathematics
ISSN0020-3157
DOI
StatusE-pub ahead of print - 2020

ID: 243007552