A bivariate extreme-value copula is characterized by a function of one variable, called a Pickands dependence function, which is convex and comprised between two bounds. The authors identify the smallest possible compact set containing the graph of all Pickands dependence functions whose corresponding bivariate extreme-value copula has a fixed value of Spearman's rho or Kendall's tau. The consequences of this result for statistical modeling are outlined.(VLID)334150
Consider a continuous random pair (X, Y ) whose dependence is characterized by an extreme-value copu...
Consider a continuous random pair (X, Y) whose dependence is characterized by an extreme-value copul...
Being the limits of copulas of componentwise maxima in independent random samples, extreme-value cop...
Extreme value copulas are the limiting copulas of component-wise maxima. A bivariate extreme value c...
We have seen extreme value copulas in the section where we did consider general families of copulas....
Copulas are multivariate cumulative distribution functions with uniform margins on the unit interval...
Extreme-value copulas arise in the asymptotic theory for componentwise maxima of independent random ...
The Pickands dependence function characterizes an extreme value copula, a useful tool in the modeli...
The extremal dependence behavior of t copulas is examined and their extreme value limiting copulas, ...
Consider a continuous random pair (X,Y) whose dependence is char-acterized by an extreme-value copul...
A new class of bivariate distributions is introduced and studied, which encompasses Archimedean copu...
This M.Sc. thesis contributes to the use of Archimax copulas to model bivariate extremes. After a re...
AbstractUnderstanding and modeling dependence structures for multivariate extreme values are of inte...
AbstractInference on an extreme-value copula usually proceeds via its Pickands dependence function, ...
International audienceCopulas are a useful tool to model multivariate distributions. While there exi...
Consider a continuous random pair (X, Y ) whose dependence is characterized by an extreme-value copu...
Consider a continuous random pair (X, Y) whose dependence is characterized by an extreme-value copul...
Being the limits of copulas of componentwise maxima in independent random samples, extreme-value cop...
Extreme value copulas are the limiting copulas of component-wise maxima. A bivariate extreme value c...
We have seen extreme value copulas in the section where we did consider general families of copulas....
Copulas are multivariate cumulative distribution functions with uniform margins on the unit interval...
Extreme-value copulas arise in the asymptotic theory for componentwise maxima of independent random ...
The Pickands dependence function characterizes an extreme value copula, a useful tool in the modeli...
The extremal dependence behavior of t copulas is examined and their extreme value limiting copulas, ...
Consider a continuous random pair (X,Y) whose dependence is char-acterized by an extreme-value copul...
A new class of bivariate distributions is introduced and studied, which encompasses Archimedean copu...
This M.Sc. thesis contributes to the use of Archimax copulas to model bivariate extremes. After a re...
AbstractUnderstanding and modeling dependence structures for multivariate extreme values are of inte...
AbstractInference on an extreme-value copula usually proceeds via its Pickands dependence function, ...
International audienceCopulas are a useful tool to model multivariate distributions. While there exi...
Consider a continuous random pair (X, Y ) whose dependence is characterized by an extreme-value copu...
Consider a continuous random pair (X, Y) whose dependence is characterized by an extreme-value copul...
Being the limits of copulas of componentwise maxima in independent random samples, extreme-value cop...