A note on entropy estimation

March 19, 2015 Β· Declared Dead Β· πŸ› Neural Computation

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Authors Thomas SchΓΌrmann arXiv ID 1503.05911 Category physics.data-an Cross-listed cs.IT, math.ST Citations 13 Venue Neural Computation Last Checked 3 months ago
Abstract
We compare an entropy estimator $H_z$ recently discussed in [10] with two estimators $H_1$ and $H_2$ introduced in [6][7]. We prove the identity $H_z \equiv H_1$, which has not been taken into account in [10]. Then, we prove that the statistical bias of $H_1$ is less than the bias of the ordinary likelihood 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 $H_2$ has a significant smaller statistical error than $H_z$.
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