Abstract: In this paper, we are interested in the dependence between lifetimes based on a joint survival model. This model is built using the bivariate Sarmanov distribution with Phase-Type marginal distributions. Capitalizing on these two classes of distributions' mathematical properties, we drive some useful closed-form expressions of distributions and quantities of interest in the context of multiple-life insurance contracts. The dependence structure that we consider in this paper is based on a general form of kernel function for the Bivariate Sarmanov distribution. The introduction of this new kernel function allows us to improve the attainable correlation range
Starting from the question: "What is the accident risk of an insured?", this paper considers a multi...
Starting from the question: What is the accident risk of an insured individual?, we consider that th...
The problem of modelling the joint distribution of survival times in a competing risks model, using ...
Most publications on modeling insurance contracts on two lives, assuming dependence of the two lifet...
Real data studies emphasized situations where the classical independence assumption between the freq...
Real data studies emphasized situations where the classical independence assumption between the freq...
Acyclic phase-type (PH) distributions have been a popular tool in survival analysis, thanks to their...
The combined survival status of the insured lives is a critical problem when pricing and reserving i...
The analysis of life insurance contracts on two lives using the traditional deterministic approach h...
Multipopulation mortality modeling is a significant research problem in actuarial science. Mortality...
Abstract. Copula models are becoming increasingly popular tool for modeling dependencies between ran...
The Sarmanov family of distributions can provide a good model for bivariate random variables and it ...
This thesis is based on the paper entitled The Bounds of Bivariate Distributions that limit the valu...
The usual assumption of independence of the remaining life times involved in joint-life and last sur...
In this paper we suggest a modeling of joint life insurance pricing via Extended Marshall–Olkin (EMO...
Starting from the question: "What is the accident risk of an insured?", this paper considers a multi...
Starting from the question: What is the accident risk of an insured individual?, we consider that th...
The problem of modelling the joint distribution of survival times in a competing risks model, using ...
Most publications on modeling insurance contracts on two lives, assuming dependence of the two lifet...
Real data studies emphasized situations where the classical independence assumption between the freq...
Real data studies emphasized situations where the classical independence assumption between the freq...
Acyclic phase-type (PH) distributions have been a popular tool in survival analysis, thanks to their...
The combined survival status of the insured lives is a critical problem when pricing and reserving i...
The analysis of life insurance contracts on two lives using the traditional deterministic approach h...
Multipopulation mortality modeling is a significant research problem in actuarial science. Mortality...
Abstract. Copula models are becoming increasingly popular tool for modeling dependencies between ran...
The Sarmanov family of distributions can provide a good model for bivariate random variables and it ...
This thesis is based on the paper entitled The Bounds of Bivariate Distributions that limit the valu...
The usual assumption of independence of the remaining life times involved in joint-life and last sur...
In this paper we suggest a modeling of joint life insurance pricing via Extended Marshall–Olkin (EMO...
Starting from the question: "What is the accident risk of an insured?", this paper considers a multi...
Starting from the question: What is the accident risk of an insured individual?, we consider that th...
The problem of modelling the joint distribution of survival times in a competing risks model, using ...