Multivariate total positivity of order 2 (MTP2) is a dependence property with a number of applications in statistics and mathematics. Given the theoretical and practical relevance of MTP2, it is important to investigate the conditions under which random vectors have this property. In this paper we contribute to the development of the theory of stochastic dependence by employing the general concept of copula. In particular, we propose a new family of non-exchangeable Archimedean copulas which leads to MTP2. The focus on non-exchangeability allows us to overcome the limitations induced by symmetric dependence, typical of standard Archimedean copulas
In order to characterize the dependence of extreme risk, the concept of tail dependence for bivariat...
D.Comm.Copulas provide a useful way to model different types of dependence structures explicitly. In...
The family of Clayton copulas is one of the most widely used Archimedean copulas for dependency meas...
Multivariate total positivity of order 2 (MTP2) is a dependence property with a number of applicatio...
This note contributes to the development of the theory of stochastic dependence by employing the gen...
This note contributes to the development of the theory of stochastic dependence by employing the gen...
Multivariate total positivity of order 2 (MTP2) is a dependence property with a number of applicati...
In the first part of the paper we consider positive dependence properties of Archimedean copulae. Es...
In the first part of the paper we consider positive dependence properties of Archimedean copulae. Es...
Restricted until 15 Feb. 2009.A construction of multivariate distribution functions that allows for ...
AbstractIn this paper, we consider different issues related to Archimedean copulae and positive depe...
International audienceIn this paper, we consider different issues related to Archimedean copulae and...
This paper studies the general multivariate dependence and tail dependence of a random vector. We an...
When studying the dependence structure of multivariate random vectors, the copula is crucial. A copu...
An investigation is presented of how a comprehensive choice of five most important measures of conco...
In order to characterize the dependence of extreme risk, the concept of tail dependence for bivariat...
D.Comm.Copulas provide a useful way to model different types of dependence structures explicitly. In...
The family of Clayton copulas is one of the most widely used Archimedean copulas for dependency meas...
Multivariate total positivity of order 2 (MTP2) is a dependence property with a number of applicatio...
This note contributes to the development of the theory of stochastic dependence by employing the gen...
This note contributes to the development of the theory of stochastic dependence by employing the gen...
Multivariate total positivity of order 2 (MTP2) is a dependence property with a number of applicati...
In the first part of the paper we consider positive dependence properties of Archimedean copulae. Es...
In the first part of the paper we consider positive dependence properties of Archimedean copulae. Es...
Restricted until 15 Feb. 2009.A construction of multivariate distribution functions that allows for ...
AbstractIn this paper, we consider different issues related to Archimedean copulae and positive depe...
International audienceIn this paper, we consider different issues related to Archimedean copulae and...
This paper studies the general multivariate dependence and tail dependence of a random vector. We an...
When studying the dependence structure of multivariate random vectors, the copula is crucial. A copu...
An investigation is presented of how a comprehensive choice of five most important measures of conco...
In order to characterize the dependence of extreme risk, the concept of tail dependence for bivariat...
D.Comm.Copulas provide a useful way to model different types of dependence structures explicitly. In...
The family of Clayton copulas is one of the most widely used Archimedean copulas for dependency meas...