Copula is originally meant to connect the edge distributions of multiple random variables together to form a joint distribution. The correlation structure between variables is completely determined by Copula, and the statistical characteristics of each variable are determined by its edge distribution. Copula is a popular tool for multivariate modeling, which can provide more accurate information than the commonly used correlations for describing intervariate relationships.

Filename	Size	Update
第6章 Copula理论及应用实例\example06_01.m	8161	2018-03-28
第6章 Copula理论及应用实例\hushi.xls	365056	2018-03-28
第6章 Copula理论及应用实例\shenshi.xls	365056	2018-03-28
第6章 Copula理论及应用实例	0	2018-03-28

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