期刊
JOURNAL OF MULTIVARIATE ANALYSIS
卷 99, 期 10, 页码 2234-2250出版社
ELSEVIER INC
DOI: 10.1016/j.jmva.2008.02.025
关键词
Copula; Archimedean copula; Tail dependence
In this paper we introduce two methods for the construction of asymmetric multivariate copulas. The first is connected with products of copulas. The second approach generalises the Archimedean copulas. The resulting copulas are asymmetric and may have more than two parameters in contrast to most of the parametric families of copulas described in the literature. We study the properties of the proposed families of copulas such as the dependence of two components (Kendall's tau, tail dependence), marginal distributions and the generation of random variates. (C) 2008 Elsevier Inc. All rights reserved.
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