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dc.contributor.author
Fraiman, Ricardo  
dc.contributor.author
Gimenez, Yanina  
dc.contributor.author
Svarc, Marcela  
dc.date.available
2019-11-28T19:28:58Z  
dc.date.issued
2016-04  
dc.identifier.citation
Fraiman, Ricardo; Gimenez, Yanina; Svarc, Marcela; Feature selection for functional data; Elsevier Inc; Journal Of Multivariate Analysis; 146; 4-2016; 191-208  
dc.identifier.issn
0047-259X  
dc.identifier.uri
http://hdl.handle.net/11336/90813  
dc.description.abstract
We herein introduce a general procedure to capture the relevant information from a functional data set in relation to a statistical method used to analyze the data, such as, classification, regression or principal components. The aim is to identify a small subset of functions that can "better explain" the model, highlighting its most important features. We obtain consistency results for our proposals. The computational aspects are analyzed, a heuristic stochastic algorithm is introduced and real data sets are studied.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier Inc  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
CLASSIFICATION  
dc.subject
PRINCIPAL COMPONENTS  
dc.subject
REGRESSION  
dc.subject
VARIABLE SELECTION  
dc.subject.classification
Estadística y Probabilidad  
dc.subject.classification
Matemáticas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Feature selection for functional data  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2019-11-21T17:36:39Z  
dc.journal.volume
146  
dc.journal.pagination
191-208  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Fraiman, Ricardo. Universidad de la República; Uruguay  
dc.description.fil
Fil: Gimenez, Yanina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de San Andrés. Departamento de Matemáticas y Ciencias; Argentina  
dc.description.fil
Fil: Svarc, Marcela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de San Andrés. Departamento de Matemáticas y Ciencias; Argentina  
dc.journal.title
Journal Of Multivariate Analysis  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0047259X15002201  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.jmva.2015.09.006  

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