Dense classes of multivariate extreme value distributions

Anne-Laure Fougères, Cécile Mercadier and John P. Nolan

Journal of Multivariate Analysis, 2013, vol. 116, issue C, 109-129

Abstract: In this paper, we explore tail dependence modeling in multivariate extreme value distributions. The measure of dependence chosen is the scale function, which allows combinations of distributions in a very flexible way. The correspondences between the scale function and the spectral measure or the stable tail dependence function are given. Combining scale functions by simple operations, three parametric classes of laws are (re)constructed and analyzed, and resulting nested and structured models are discussed. Finally, the denseness of each of these classes is shown.

Keywords: Multivariate extreme value distribution; Extremal dependence; Max-stable; Dependence function; Logistic distributions; Models for multivariate extremes (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jmvana:v:116:y:2013:i:c:p:109-129

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DOI: 10.1016/j.jmva.2012.11.015

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