Constructive approximations to the q = 1/2 maximum entropy distribution from redundant and noisy data
- Autores
- Rebollo Neira, Laura; Plastino, Ángel Luis
- Año de publicación
- 2004
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- 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.
Facultad de Ciencias Exactas
Instituto de Física La Plata - Materia
-
Ciencias Exactas
Física
entropy distributions
redundant and noisy data - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
.jpg)
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/126470
Ver los metadatos del registro completo
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Constructive approximations to the q = 1/2 maximum entropy distribution from redundant and noisy dataRebollo Neira, LauraPlastino, Ángel LuisCiencias ExactasFísicaentropy distributionsredundant and noisy dataThe 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 <i>a posteriori</i> 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.Facultad de Ciencias ExactasInstituto de Física La Plata2004-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/126470enginfo:eu-repo/semantics/altIdentifier/issn/1539-3755info:eu-repo/semantics/altIdentifier/issn/1550-2376info:eu-repo/semantics/altIdentifier/doi/10.1103/physreve.70.021104info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-22T17:11:10Zoai:sedici.unlp.edu.ar:10915/126470Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 17:11:11.238SEDICI (UNLP) - Universidad Nacional de La Platafalse |
| dc.title.none.fl_str_mv |
Constructive approximations to the q = 1/2 maximum entropy distribution from redundant and noisy data |
| title |
Constructive approximations to the q = 1/2 maximum entropy distribution from redundant and noisy data |
| spellingShingle |
Constructive approximations to the q = 1/2 maximum entropy distribution from redundant and noisy data Rebollo Neira, Laura Ciencias Exactas Física entropy distributions redundant and noisy data |
| title_short |
Constructive approximations to the q = 1/2 maximum entropy distribution from redundant and noisy data |
| title_full |
Constructive approximations to the q = 1/2 maximum entropy distribution from redundant and noisy data |
| title_fullStr |
Constructive approximations to the q = 1/2 maximum entropy distribution from redundant and noisy data |
| title_full_unstemmed |
Constructive approximations to the q = 1/2 maximum entropy distribution from redundant and noisy data |
| title_sort |
Constructive approximations to the q = 1/2 maximum entropy distribution from redundant and noisy data |
| dc.creator.none.fl_str_mv |
Rebollo Neira, Laura Plastino, Ángel Luis |
| author |
Rebollo Neira, Laura |
| author_facet |
Rebollo Neira, Laura Plastino, Ángel Luis |
| author_role |
author |
| author2 |
Plastino, Ángel Luis |
| author2_role |
author |
| dc.subject.none.fl_str_mv |
Ciencias Exactas Física entropy distributions redundant and noisy data |
| topic |
Ciencias Exactas Física entropy distributions redundant and noisy data |
| dc.description.none.fl_txt_mv |
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 <i>a posteriori</i> 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. Facultad de Ciencias Exactas Instituto de Física La Plata |
| description |
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 <i>a posteriori</i> 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. |
| publishDate |
2004 |
| dc.date.none.fl_str_mv |
2004-08 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Articulo http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
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article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
http://sedici.unlp.edu.ar/handle/10915/126470 |
| url |
http://sedici.unlp.edu.ar/handle/10915/126470 |
| dc.language.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/issn/1539-3755 info:eu-repo/semantics/altIdentifier/issn/1550-2376 info:eu-repo/semantics/altIdentifier/doi/10.1103/physreve.70.021104 |
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info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
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openAccess |
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http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
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application/pdf |
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