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/}
}
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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/