Constraints on concordance measures in bivariate discrete data
This paper aims to investigate the constraints on dependence measures based on the concept of concordance when discrete random variables are involved. The main technical argument consists in a continuous extension of integer-valued random variables by convolution with unit support kernels.
Year of publication: |
2005
|
---|---|
Authors: | Denuit, Michel ; Lambert, Philippe |
Published in: |
Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 93.2005, 1, p. 40-57
|
Publisher: |
Elsevier |
Subject: | Dependence Concordance Copula Bivariate discrete |
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