MULTIVARIATE ARCHIMEDEAN COPULAS, d-MONOTONE FUNCTIONS AND l1-NORM SYMMETRIC DISTRIBUTIONS

被引:442
作者
McNeil, Alexander J.
Neslehova, Johanna [1 ]
机构
[1] Swiss Fed Inst Technol, Dept Math, CH-8092 Zurich, Switzerland
关键词
Archimedean copula; d-monotone function; dependence ordering; frailty model; l(1)-norm symmetric distribution; Laplace transform; stochastic simulation; Williamson d-transform; FAMILIES; DERIVATIVES; DEPENDENCE; MARGINALS;
D O I
10.1214/07-AOS556
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
070103 [概率论与数理统计]; 140311 [社会设计与社会创新];
摘要
It is shown that a necessary and sufficient condition for an Archimedean copula generator to generate a d-dimensional copula is that the generator is a d-monotone function. The class of d-dimensional Archimedean copulas is shown to coincide with the class of survival copulas of d-dimensional l(1)-norm symmetric distributions that place no point mass at the origin, The d-monotone Archimedean copula generators may be characterized using a little-known integral transform of Williamson [Duke Math. J. 23 (1956) 189207] in an analogous manner to the well-known Bernstein-Widder characterization of completely monotone generators in terms of the Laplace transform. These insights allow the construction of new Archimedean Copula families and provide a general solution to the problem of sampling multivariate Archimedean copulas. They also yield useful expressions for the d-dimensional Kendall function and Kendall's rank correlation coefficients and facilitate the derivation of results On the existence of densities and the description of singular components for Archimedean copulas. The existence of a sharp lower bound for Archimedean copulas with respect to the positive tower orthant dependence ordering is shown.
引用
收藏
页码:3059 / 3097
页数:39
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