Add to ORKGOn univariate and bivariate aging for dependent lifetimes with Archimedean survival copula
We point out how capacities (non-additive measures) can be used to provide explanations about the co...
We provide probabilistic explanations of equivalences, between conditions of positive dependence and...
In order to characterize the dependence of extreme risk, the concept of tail dependence for bivariat...
For a couple of lifetimes (X1,X2) with an exchangeable joint survival function , attention is focuse...
AbstractFor a couple of lifetimes (X1,X2) with an exchangeable joint survival function F̄, attention...
summary:Let $\mbox{\boldmath$X$} = (X,Y)$ be a pair of exchangeable lifetimes whose dependence struc...
In this note we consider a vector (X1,X2) of lifetimes whose dependence is described by an Archimede...
In some recent papers, the authors considered a function B that describes the level curves of an exc...
This paper proposes a general framework to compare the strength of the dependence in survival models...
Copulas and frailty models are important tools to model bivariate survival data. Equivalence between...
In this dissertation we solve the nonidentifiability problem of Archimedean copula models based on d...
Bivariate aging notions for a vector X of lifetimes based on stochastic comparisons between X and X_...
AbstractThe copula for a bivariate distribution functionH(x, y) with marginal distribution functions...
We provide exact formulas about the survival copula of an exchangeable random vector of residual lif...
We first review an approach that had been developed in the past years to introduce concepts of "biva...
We point out how capacities (non-additive measures) can be used to provide explanations about the co...
We provide probabilistic explanations of equivalences, between conditions of positive dependence and...
In order to characterize the dependence of extreme risk, the concept of tail dependence for bivariat...
For a couple of lifetimes (X1,X2) with an exchangeable joint survival function , attention is focuse...
AbstractFor a couple of lifetimes (X1,X2) with an exchangeable joint survival function F̄, attention...
summary:Let $\mbox{\boldmath$X$} = (X,Y)$ be a pair of exchangeable lifetimes whose dependence struc...
In this note we consider a vector (X1,X2) of lifetimes whose dependence is described by an Archimede...
In some recent papers, the authors considered a function B that describes the level curves of an exc...
This paper proposes a general framework to compare the strength of the dependence in survival models...
Copulas and frailty models are important tools to model bivariate survival data. Equivalence between...
In this dissertation we solve the nonidentifiability problem of Archimedean copula models based on d...
Bivariate aging notions for a vector X of lifetimes based on stochastic comparisons between X and X_...
AbstractThe copula for a bivariate distribution functionH(x, y) with marginal distribution functions...
We provide exact formulas about the survival copula of an exchangeable random vector of residual lif...
We first review an approach that had been developed in the past years to introduce concepts of "biva...
We point out how capacities (non-additive measures) can be used to provide explanations about the co...
We provide probabilistic explanations of equivalences, between conditions of positive dependence and...
In order to characterize the dependence of extreme risk, the concept of tail dependence for bivariat...