On mutual information estimation for mixed-pair random variables
classification
🧮 math.ST
stat.TH
keywords
randominformationmutualvariablesestimationmixed-paircentralconditions
read the original abstract
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.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.