  We study the mutual information estimation for mixed-pair random variables.
One random variable is discrete and the other one is continuous. We develop a
kernel method to estimate the mutual information between the two random
variables. The estimates enjoy a central limit theorem under some regular
conditions on the distributions. The theoretical results are demonstrated by
simulation study.
