Article ID Journal Published Year Pages File Type
397085 International Journal of Approximate Reasoning 2013 14 Pages PDF
Abstract

The authors propose a multivariate version of Siburg and Stoimenov’s measure of mutual complete dependence. This multivariate version is, however, not the distance between a copula and the product copula CICI under the modified Sobolev norm since the set of mutual complete dependence copulas does not lie on the sphere centered at CICI. To overcome this difficulty, the authors choose another center and define measures of complete dependence based on the modified Sobolev norm and this center. The measure of multivariate mutual complete dependence is then defined as the summation of the (normalized) measures of complete dependence.

► The measure of multivariate mutual complete dependence which is not a function of the bivariate version is proposed. ► Calculational Examples related to this measure is provided. ► Some basic properties of this measure has been proved.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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