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Non-Parametric Estimation of the Limit Dependence Function of Multivariate Extremes
Authors:B. Abdous  K. Ghoudi  A. Khoudraji
Affiliation:(1) Dept. mathe´matiques et informatique, Universite´ du Que´bec a`, Trois-Rivie`res, Trois-Rivie`res, QC, Canada, G9A 5H7;(2) Dept. mathe´matiques, Universite´ Cadi Ayyad, Marrakech, Morocco
Abstract:This paper presents a new estimation procedure for the limit distribution of the maximum of a multivariate random sample. This procedure relies on a new and simple relationship between the copula of the underlying multivariate distribution function and the dependence function of its maximum attractor. The obtained characterization is then used to define a class of kernel-based estimates for the dependence function of the maximum attractor. The consistency and the asymptotic distribution of these estimates are considered.
Keywords:multivariate extremes  kernel estimation  dependence function  Gaussian process  regular variation
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