Title | ||
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Reply to C. Tsallis’ “Conceptual Inadequacy of the Shore and Johnson Axioms for Wide Classes of Complex Systems” |
Abstract | ||
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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 Pressé | 1 | 1 | 0.35 |
Kingshuk Ghosh | 2 | 1 | 0.35 |
Julian Lee | 3 | 46 | 4.81 |
Ken A Dill | 4 | 181 | 23.13 |