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.
Denuit, M., & Lambert, P. (2002). Constraints on concordance measures in bivariate discrete data (STAT Discussion paper 0212). https://hdl.handle.net/2078.5/26508