Bias of the nonpametric entropy estimator for Markov measures
Zapiski Nauchnykh Seminarov POMI, Probability and statistics. Part 16, Tome 384 (2010), pp. 267-290
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We consider the problem of the nonparametric entropy (entropy rate) estimation. We investigate the technique of the nonparametric entropy estimation based on so-called “nearest neighbor distances” and obtain a closed-form expression of the bias for Markov measures.
This bias is a discontinuous function of transition probabilities. Bibl. 20 titles.
@article{ZNSL_2010_384_a13,
author = {E. A. Timofeev},
title = {Bias of the nonpametric entropy estimator for {Markov} measures},
journal = {Zapiski Nauchnykh Seminarov POMI},
pages = {267--290},
publisher = {mathdoc},
volume = {384},
year = {2010},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/ZNSL_2010_384_a13/}
}
E. A. Timofeev. Bias of the nonpametric entropy estimator for Markov measures. Zapiski Nauchnykh Seminarov POMI, Probability and statistics. Part 16, Tome 384 (2010), pp. 267-290. http://geodesic.mathdoc.fr/item/ZNSL_2010_384_a13/