Convex geometry of max-stable distributions

dc.creatorMolchanov, Ilya
dc.date2006-03-17
dc.date2007-10-29
dc.date.accessioned2026-07-07T08:38:56Z
dc.date.available2026-07-07T08:38:56Z
dc.descriptionIt is shown that max-stable random vectors in $[0,\infty)^d$ with unit Fréchet marginals are in one to one correspondence with convex sets $K$ in $[0,\infty)^d$ called max-zonoids. The max-zonoids can be characterised as sets obtained as limits of Minkowski sums of cross-polytopes or, alternatively, as the selection expectation of a random cross-polytope whose distribution is controlled by the spectral measure of the max-stable random vector. Furthermore, the cumulative distribution function $\Prob{ξ\leq x}$ of a max-stable random vector $ξ$ with unit Fréchet marginals is determined by the norm of the inverse to $x$, where all possible norms are given by the support functions of max-zonoids. As an application, geometrical interpretations of a number of well-known concepts from the theory of multivariate extreme values and copulas are provided. The convex geometry approach makes it possible to introduce new operations with max-stable random vectors.
dc.description25 pages. Revised version
dc.identifierhttps://arxiv.org/abs/math/0603423
dc.identifierhttp://arxiv.org/abs/math/0603423
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/140913
dc.subjectProbability
dc.subject60G70; 60D05
dc.titleConvex geometry of max-stable distributions
dc.typetext

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