Sampling Archimedean copulas

被引:117
作者
Hofert, Marius [1 ]
机构
[1] Univ Ulm, Inst Angew Anal, D-89069 Ulm, Germany
关键词
Laplace transforms;
D O I
10.1016/j.csda.2008.05.019
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The challenge of efficiently sampling exchangeable and nested Archimedean copulas is addressed. Specific focus is put on large dimensions, where methods involving generator derivatives are not applicable. Additionally, new conditions under which Archimedean copulas can be mixed to construct nested Archimedean copulas are presented. Moreover, for some Archimedean families, direct sampling algorithms are given. For other families, sampling algorithms based on numerical inversion of Laplace transforms are suggested. For this purpose, the Fixed Talbot, Gaver Stehfest, Gaver Wynn rho, and Laguerre series algorithm are compared in terms of precision and runtime. Examples are given, including both exchangeable and nested Archimedean copulas. (c) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:5163 / 5174
页数:12
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