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Zapiski Nauchnykh Seminarov POMI, 2010, Volume 384, Pages 267–290
(Mi znsl3895)
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This article is cited in 9 scientific papers (total 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.
Received: 18.10.2010
Citation:
E. A. Timofeev, “Bias of the nonpametric entropy estimator for Markov measures”, Probability and statistics. Part 16, Zap. Nauchn. Sem. POMI, 384, POMI, St. Petersburg, 2010, 267–290; J. Math. Sci. (N. Y.), 176:2 (2011), 255–269
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https://www.mathnet.ru/eng/znsl3895 https://www.mathnet.ru/eng/znsl/v384/p267
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Abstract page: | 366 | Full-text PDF : | 92 | References: | 64 |
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