Copula theory provides a unifying framework for modelling the dependence structure among multiple random variables independently of their marginal distributions. At its core is the decomposition of ...

Statistical estimation for multivariate distributions encompasses a broad array of techniques designed to infer the joint behaviour of multiple variables. Parametric approaches such as maximum ...