pith. sign in

arxiv: 1801.02050 · v1 · pith:RAAX5N25new · submitted 2018-01-06 · 🧮 math.ST · stat.TH

Statistical estimation of the Shannon entropy

classification 🧮 math.ST stat.TH
keywords entropyestimatesestimationshannonanaloguesasymptoticbehaviorconditions
0
0 comments X
read the original abstract

The behavior of the Kozachenko - Leonenko estimates for the (differential) Shannon entropy is studied when the number of i.i.d. vector-valued observations tends to infinity. The asymptotic unbiasedness and L^2-consistency of the estimates are established. The conditions employed involve the analogues of the Hardy - Littlewood maximal function. It is shown that the results are valid in particular for the entropy estimation of any nondegenerate Gaussian vector.

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.