Title
Reply to C. Tsallis’ “Conceptual Inadequacy of the Shore and Johnson Axioms for Wide Classes of Complex Systems”
Abstract
In a recent PRL (2013, 111, 180604), we invoked the Shore and Johnson axioms which demonstrate that the least-biased way to infer probability distributions {p(i)} from data is to maximize the Boltzmann-Gibbs entropy. We then showed which biases are introduced in models obtained by maximizing nonadditive entropies. A rebuttal of our work appears in entropy (2015, 17, 2853) and argues that the Shore and Johnson axioms are inapplicable to a wide class of complex systems. Here we highlight the errors in this reasoning.
Year
DOI
Venue
2015
10.3390/e17075043
ENTROPY
Keywords
Field
DocType
nonadditive entropies,nonextensive statistical mechanics,strongly correlated random variables,Shore and Johnson axioms
Complex system,Axiom,Rebuttal,Shore,Probability distribution,Statistics,Mathematics
Journal
Volume
Issue
Citations 
17
7
1
PageRank 
References 
Authors
0.35
2
4
Name
Order
Citations
PageRank
Steve Pressé110.35
Kingshuk Ghosh210.35
Julian Lee3464.81
Ken A Dill418123.13