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001     908873
005     20230307151134.0
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037 _ _ |a FZJ-2022-02887
082 _ _ |a 510
100 1 _ |a Grassberger, Peter
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245 _ _ |a On Generalized Schürmann Entropy Estimators
260 _ _ |a Basel
|c 2022
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520 _ _ |a We present a new class of estimators of Shannon entropy for severely undersampleddiscrete distributions. It is based on a generalization of an estimator proposed by T. Schürmann,which itself is a generalization of an estimator proposed by myself.For a special set of parameters,they are completely free of bias and have a finite variance, something which is widely believedto be impossible. We present also detailed numerical tests, where we compare them with otherrecent estimators and with exact results, and point out a clash with Bayesian estimators for mutualinformation.
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773 _ _ |a 10.3390/e24050680
|g Vol. 24, no. 5, p. 680 -
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|t Entropy
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|y 2022
|x 1099-4300
856 4 _ |u https://juser.fz-juelich.de/record/908873/files/entropy-24-00680-v2-1.pdf
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