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JOURNALS // Zapiski Nauchnykh Seminarov POMI // Archive

Zap. Nauchn. Sem. POMI, 2010 Volume 384, Pages 267–290 (Mi znsl3895)

This article is cited in 9 papers

Bias of the nonpametric entropy estimator for Markov measures

E. A. Timofeev

P. G. Demidov Yaroslavl State University, Yaroslavl, Russia

Abstract: 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.

Key words and phrases: entropy, nonparametric estimation, Markov measure, bias.

UDC: 519.72

Received: 18.10.2010


 English version:
Journal of Mathematical Sciences (New York), 2011, 176:2, 255–269

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