International audienceWe propose a new family of copulas generalizing the Farlie-Gumbel-Morgenstern (FGM) family and generated by two univariate functions. The main feature of this family is two permit the modeling of high positive dependence. In particular, it is established that the correlation range is [-3/4,1] and that the upper tail dependence coefficient can reach any value in [0,1]. Some examples of parametric subfamilies are provided
In this paper, we discuss an asymmetric extension of Farlie-Gumbel-Morgenstern copulas studied by se...
A copula is a function that completely describes the dependence structure between the marginal distr...
In 2004, Rodr'{i}guez-Lallena and '{U}beda-Flores have introduced a class of bivariate copulas which...
There exist necessary and sufficient conditions on the generating functions of the FGM family, in or...
A copula is a useful tool for constructing bivariate and/or multivariate distributions. In this arti...
Recently, Rodŕiguez-Lallena and Úbeda-Flores [8] have introduced a class of bivariate copulas whic...
summary:In this paper, we study a general structure for the so-called Farlie-Gumbel-Morgenstern (FGM...
summary:In this paper, we study a general structure for the so-called Farlie-Gumbel-Morgenstern (FGM...
Copulas are a powerful tool to model dependence between the components of a random vector. One well-...
We have seen extreme value copulas in the section where we did consider general families of copulas....
A new property defined on the class of symmetric copulas is introduced and studied along this note. ...
This paper introduces a new family of multivariate copula functions defined by two generators, which...
This paper constructs a new generalized multivariate version of the Gumbel copula that, to our know...
summary:In this paper, we study a general structure for the so-called Farlie-Gumbel-Morgenstern (FGM...
This paper constructs a new generalized multivariate version of the Gumbel copula that, to our know...
In this paper, we discuss an asymmetric extension of Farlie-Gumbel-Morgenstern copulas studied by se...
A copula is a function that completely describes the dependence structure between the marginal distr...
In 2004, Rodr'{i}guez-Lallena and '{U}beda-Flores have introduced a class of bivariate copulas which...
There exist necessary and sufficient conditions on the generating functions of the FGM family, in or...
A copula is a useful tool for constructing bivariate and/or multivariate distributions. In this arti...
Recently, Rodŕiguez-Lallena and Úbeda-Flores [8] have introduced a class of bivariate copulas whic...
summary:In this paper, we study a general structure for the so-called Farlie-Gumbel-Morgenstern (FGM...
summary:In this paper, we study a general structure for the so-called Farlie-Gumbel-Morgenstern (FGM...
Copulas are a powerful tool to model dependence between the components of a random vector. One well-...
We have seen extreme value copulas in the section where we did consider general families of copulas....
A new property defined on the class of symmetric copulas is introduced and studied along this note. ...
This paper introduces a new family of multivariate copula functions defined by two generators, which...
This paper constructs a new generalized multivariate version of the Gumbel copula that, to our know...
summary:In this paper, we study a general structure for the so-called Farlie-Gumbel-Morgenstern (FGM...
This paper constructs a new generalized multivariate version of the Gumbel copula that, to our know...
In this paper, we discuss an asymmetric extension of Farlie-Gumbel-Morgenstern copulas studied by se...
A copula is a function that completely describes the dependence structure between the marginal distr...
In 2004, Rodr'{i}guez-Lallena and '{U}beda-Flores have introduced a class of bivariate copulas which...