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Teor. Veroyatnost. i Primenen., 1958, Volume 3, Issue 4, Pages 462–464 (Mi tvp4950)  

This article is cited in 5 scientific papers (total in 5 papers)

Short Communications

A Simplified Method of Experimentally Evaluating the Entropy of a Stationary Sequence

R. L. Dobrushin

Moscow

Abstract: In this paper we relate a new method for evaluating the entropy of a stationary sequence using a given sample. This method is simpler than the one usually used.

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English version:
Theory of Probability and its Applications, 1958, 3:4, 428–430

Received: 05.05.1958

Citation: R. L. Dobrushin, “A Simplified Method of Experimentally Evaluating the Entropy of a Stationary Sequence”, Teor. Veroyatnost. i Primenen., 3:4 (1958), 462–464; Theory Probab. Appl., 3:4 (1958), 428–430

Citation in format AMSBIB
\Bibitem{Dob58}
\by R.~L.~Dobrushin
\paper A Simplified Method of Experimentally Evaluating the Entropy of a Stationary Sequence
\jour Teor. Veroyatnost. i Primenen.
\yr 1958
\vol 3
\issue 4
\pages 462--464
\mathnet{http://mi.mathnet.ru/tvp4950}
\transl
\jour Theory Probab. Appl.
\yr 1958
\vol 3
\issue 4
\pages 428--430
\crossref{https://doi.org/10.1137/1103036}


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    Citing articles on Google Scholar: Russian citations, English citations
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    This publication is cited in the following articles:
    1. V. G. Mikhailov, V. A. Vatutin, “Statistical estimation of the entropy of discrete random variables with a large number of outcomes”, Russian Math. Surveys, 50:5 (1995), 963–976  mathnet  crossref  mathscinet  zmath  adsnasa  isi
    2. V. V. Prelov, “Information theory in Dobrushin's scientific activity”, Russian Math. Surveys, 52:2 (1997), 245–249  mathnet  crossref  crossref  mathscinet  zmath  adsnasa  isi
    3. E. A. Timofeev, “Invariants of measures admiting statistical estimates”, St. Petersburg Math. J., 17:3 (2006), 527–551  mathnet  crossref  mathscinet  zmath  elib
    4. E. A. Timofeev, “A Consistent Estimator of the Entropy of Measures and Dynamical Systems”, Math. Notes, 77:6 (2005), 831–842  mathnet  crossref  crossref  mathscinet  zmath  isi  elib
    5. E. A. Timofeev, “Bias of the nonpametric entropy estimator for Markov measures”, J. Math. Sci. (N. Y.), 176:2 (2011), 255–269  mathnet  crossref
  • Теория вероятностей и ее применения Theory of Probability and its Applications
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