Multivariate Liouville distributions
Journal of Multivariate Analysis
Some families of multivariate symmetric distributions related to exponential distribution
Journal of Multivariate Analysis
Journal of Multivariate Analysis
Multivariate Liouville distributions, III
Journal of Multivariate Analysis
Multivariate dependence measures and data analysis
Computational Statistics & Data Analysis
Computational Statistics & Data Analysis
Pattern Recognition
Journal of Multivariate Analysis
Archimedean survival processes
Journal of Multivariate Analysis
Strength of tail dependence based on conditional tail expectation
Journal of Multivariate Analysis
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We use a recent characterization of the d-dimensional Archimedean copulas as the survival copulas of d-dimensional simplex distributions (McNeil and Neslehova (2009) [1]) to construct new Archimedean copula families, and to examine the relationship between their dependence properties and the radial parts of the corresponding simplex distributions. In particular, a new formula for Kendall's tau is derived and a new dependence ordering for non-negative random variables is introduced which generalises the Laplace transform order. We then generalise the Archimedean copulas to obtain Liouville copulas, which are the survival copulas of Liouville distributions and which are non-exchangeable in general. We derive a formula for Kendall's tau of Liouville copulas in terms of the radial parts of the corresponding Liouville distributions.