Detailed Information

Cited 11 time in webofscience Cited 11 time in scopus
Metadata Downloads

Reply to C. Tsallis' "Conceptual Inadequacy of the Shore and Johnson Axioms for Wide Classes of Complex Systems

Full metadata record
DC Field Value Language
dc.contributor.authorPresse, Steve-
dc.contributor.authorGhosh, Kingshuk-
dc.contributor.authorLee, Julian-
dc.contributor.authorDill, Ken A.-
dc.date.available2018-05-09T07:33:38Z-
dc.date.created2018-04-17-
dc.date.issued2015-07-
dc.identifier.issn1099-4300-
dc.identifier.urihttp://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/8700-
dc.description.abstractIn 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.-
dc.publisherMDPI AG-
dc.relation.isPartOfENTROPY-
dc.subjectMAXIMUM-ENTROPY-
dc.titleReply to C. Tsallis' "Conceptual Inadequacy of the Shore and Johnson Axioms for Wide Classes of Complex Systems-
dc.typeArticle-
dc.identifier.doi10.3390/e17075043-
dc.type.rimsART-
dc.identifier.bibliographicCitationENTROPY, v.17, no.7, pp.5043 - 5046-
dc.description.journalClass1-
dc.identifier.wosid000359899800030-
dc.identifier.scopusid2-s2.0-84940521270-
dc.citation.endPage5046-
dc.citation.number7-
dc.citation.startPage5043-
dc.citation.titleENTROPY-
dc.citation.volume17-
dc.contributor.affiliatedAuthorLee, Julian-
dc.type.docTypeEditorial Material-
dc.description.oadoiVersionpublished-
dc.subject.keywordAuthornonadditive entropies-
dc.subject.keywordAuthornonextensive statistical mechanics-
dc.subject.keywordAuthorstrongly correlated random variables-
dc.subject.keywordAuthorShore and Johnson axioms-
dc.subject.keywordPlusMAXIMUM-ENTROPY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
Files in This Item
Go to Link
Appears in
Collections
College of Natural Sciences > School of Systems and Biomedical Science > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Lee, Ju lian photo

Lee, Ju lian
College of Natural Sciences (Department of Bioinformatics & Life Science)
Read more

Altmetrics

Total Views & Downloads

BROWSE