论文部分内容阅读
Extreme value theory is a natural choice in risk study.A current area of interest is to find a class of models which have the ability to simultaneously model extremal cross-sectional (spatial) dependence and temporal dependence.Theoretically,neither univariate extreme value distributions nor multivariate extreme value distributions are in that class.This talk introduces a family of sectional multivariate extreme value copula (SMEVC) functions which is derived from the joint distribution functions of a class of max-stable processes.