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Abstract
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 continuing integer-valued random variables by convolution with support kernels.
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Denuit, M., & Lambert, P. (2002). Constraints on concordance measures in bivariate discrete data (STAT Discussion paper 0212). https://hdl.handle.net/2078.5/26508