Comment on "Rényi entropy yields artificial biases not in the data and incorrect updating due to the finite-size data"
Status PubMed-not-MEDLINE Language English Country United States Media print
Document type Journal Article
Grant support
I 3073
Austrian Science Fund FWF - Austria
- Publication type
- Journal Article MeSH
In their recent paper [Phys. Rev. E 99, 032134 (2019)2470-004510.1103/PhysRevE.99.032134], Oikonomou and Bagci have argued that Rényi entropy is ill suited for inference purposes because it is not consistent with the Shore-Johnson axioms of statistical estimation theory. In this Comment we seek to clarify the latter statement by showing that there are several issues in Oikonomou's and Bagci's reasonings which lead to erroneous conclusions. When all these issues are properly accounted for, no violation of Shore-Johnson axioms is found.
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FNSPE Czech Technical University Prague Břehová 7 115 19 Prague Czech Republic
References provided by Crossref.org
Calibration Invariance of the MaxEnt Distribution in the Maximum Entropy Principle
