We compare an entropy estimator recently discussed by Zhang (2012) with two estimators, and , introduced by Grassberger (2003) and Schürmann (2004). We prove the identity , which has not been taken into account by Zhang (2012). Then we prove that the systematic error (bias) of is less than or equal to the bias of the ordinary likelihood (or plug-in) estimator of entropy. Finally, by numerical simulation, we verify that for the most interesting regime of small sample estimation and large event spaces, the estimator has a significantly smaller statistical error than .
© 2015 Massachusetts Institute of Technology
Massachusetts Institute of Technology