This paper proposes a general framework to compare the strength of the dependence in survival models, as time changes, i.e. given remaining lifetimes , to compare the dependence of given >t, and given >s, where s>t. More precisely, analytical results will be obtained in the case the survival copula of is either Archimedean or a distorted copula. The case of a frailty based model will also be discussed in details
AbstractA parametric family of n-dimensional extreme-value copulas of Marshall–Olkin type is introdu...
We consider non-negative conditionally independent and identically distributed random variables and ...
In order to characterize the dependence of extreme risk, the concept of tail dependence for bivariat...
This paper proposes a general framework to compare the strength of the dependence in survival models...
We provide exact formulas about the survival copula of an exchangeable random vector of residual lif...
In this paper, the residual probability function is applied to analyze the survival probability of t...
AbstractIn this article, copulas associated to multivariate conditional distributions in an Archimed...
In this article, copulas associated to multivariate conditional distributions in an Archimedean mode...
Dependence in survival analysis is most frequently modeled by the frailty model or the copula model....
On univariate and bivariate aging for dependent lifetimes with Archimedean survival copula
In this work, we compare conditional distributions derived from bivariate archimedean copulas in ter...
AbstractIn this paper, we introduce a new copula-based dependence order to compare the relative degr...
Copulas and frailty models are important tools to model bivariate survival data. Equivalence between...
A new way of choosing a suitable copula to model dependence is introduced. Instead of relying on a g...
A complete and user-friendly directory of tails of Archimedean copulas is presented which can be use...
AbstractA parametric family of n-dimensional extreme-value copulas of Marshall–Olkin type is introdu...
We consider non-negative conditionally independent and identically distributed random variables and ...
In order to characterize the dependence of extreme risk, the concept of tail dependence for bivariat...
This paper proposes a general framework to compare the strength of the dependence in survival models...
We provide exact formulas about the survival copula of an exchangeable random vector of residual lif...
In this paper, the residual probability function is applied to analyze the survival probability of t...
AbstractIn this article, copulas associated to multivariate conditional distributions in an Archimed...
In this article, copulas associated to multivariate conditional distributions in an Archimedean mode...
Dependence in survival analysis is most frequently modeled by the frailty model or the copula model....
On univariate and bivariate aging for dependent lifetimes with Archimedean survival copula
In this work, we compare conditional distributions derived from bivariate archimedean copulas in ter...
AbstractIn this paper, we introduce a new copula-based dependence order to compare the relative degr...
Copulas and frailty models are important tools to model bivariate survival data. Equivalence between...
A new way of choosing a suitable copula to model dependence is introduced. Instead of relying on a g...
A complete and user-friendly directory of tails of Archimedean copulas is presented which can be use...
AbstractA parametric family of n-dimensional extreme-value copulas of Marshall–Olkin type is introdu...
We consider non-negative conditionally independent and identically distributed random variables and ...
In order to characterize the dependence of extreme risk, the concept of tail dependence for bivariat...