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dc.date.accessioned 2021-10-12T15:28:24Z
dc.date.available 2021-10-12T15:28:24Z
dc.date.issued 2004-08
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/126470
dc.description.abstract The problem of constructing the q = 1/2 nonextensive maximum entropy distributions from redundant and noisy data is considered. A strategy is proposed, which evolves through the following steps. (i) Independent constraints are first preselected by recourse to a data-independent technique to be discussed here. (ii) The data are a posteriori used to determine the parameters of the distribution by a previously introduced forward approach. (iii) A backward approach is proposed for reducing the parameters of such distribution. The previously introduced forward approach is generalized here in order to make it suitable for dealing with very noisy data. en
dc.language en es
dc.subject entropy distributions es
dc.subject redundant and noisy data es
dc.title Constructive approximations to the q = 1/2 maximum entropy distribution from redundant and noisy data en
dc.type Articulo es
sedici.identifier.other doi:10.1103/physreve.70.021104 es
sedici.identifier.issn 1539-3755 es
sedici.identifier.issn 1550-2376 es
sedici.creator.person Rebollo Neira, Laura es
sedici.creator.person Plastino, Ángel Luis es
sedici.subject.materias Ciencias Exactas es
sedici.subject.materias Física es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Ciencias Exactas es
mods.originInfo.place Instituto de Física La Plata es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.description.peerReview peer-review es
sedici.relation.journalTitle Physical Review E es
sedici.relation.journalVolumeAndIssue vol. 70, no. 2 es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)