Copulas are mathematical objects that fully capture the dependence structure among random variables and thus offer a great deal of flexibility in building multivariate stochastic models. They have widely use in, credit models, risk aggregation, portfolio selection, insurance, and...
Open access
Research Article10.9734/jamcs/2021/v36i1130417
In this paper we have introduced semicopula function by using Rüschendorf method, semicopula which is related to correlation between one or more random variables and this way is more flexible than traditional correlation approaches and dependency among variables. Every semicopul...
Open access
Research Article10.9734/ajpas/2021/v15i430388