Abstract
It is shown that max-stable random vectors in [0, ∞ )d with unit Fréchet marginals are in one to one correspondence with convex sets K in [0, ∞ )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 P ξ ≤ 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 (normalised) 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.
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Molchanov, I. Convex geometry of max-stable distributions. Extremes 11, 235–259 (2008). https://doi.org/10.1007/s10687-008-0055-5
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DOI: https://doi.org/10.1007/s10687-008-0055-5