Comment on "Renyi entropy yields artificial biases not in the data and incorrect updating due to the finite-size data"

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F19%3A00332797" target="_blank" >RIV/68407700:21340/19:00332797 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1103/PhysRevE.100.026101" target="_blank" >http://dx.doi.org/10.1103/PhysRevE.100.026101</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1103/PhysRevE.100.026101" target="_blank" >10.1103/PhysRevE.100.026101</a>

Result language
angličtina
Original language name
Comment on "Renyi entropy yields artificial biases not in the data and incorrect updating due to the finite-size data"
Original language description
In their recent paper [Phys. Rev. E 99, 032134 (2019)], Oikonomou and Bagci have argued that Renyi 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.
Czech name
—
Czech description
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Project
<a href="/en/project/GA19-16066S" target="_blank" >GA19-16066S: Nonlinear interactions and information transfer in complex systems with extreme events</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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