  A method of estimating the joint probability mass function of a pair of
discrete random variables is described. This estimator is used to construct the
conditional Shannon-R\'eyni-Tsallis entropies estimates. From there almost sure
rates of convergence and asymptotic normality are established. The theorical
results are validated by simulations.
