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| Campo DC | Valor | Lengua/Idioma |
|---|---|---|
| dc.creator | Cook, R. Dennis | - |
| dc.creator | Forzani, Liliana Maria | - |
| dc.creator | Rothman, Adam | - |
| dc.date | 2018-09-20T18:31:11Z | - |
| dc.date | 2018-09-20T18:31:11Z | - |
| dc.date | 2012-02 | - |
| dc.date | 2018-09-18T16:22:29Z | - |
| dc.date.accessioned | 2019-04-29T15:43:27Z | - |
| dc.date.available | 2019-04-29T15:43:27Z | - |
| dc.date.issued | 2018-09-20T18:31:11Z | - |
| dc.date.issued | 2018-09-20T18:31:11Z | - |
| dc.date.issued | 2012-02 | - |
| dc.date.issued | 2018-09-18T16:22:29Z | - |
| dc.identifier | Cook, R. Dennis; Forzani, Liliana Maria; Rothman, Adam; Estimating sufficient reductions of the predictors in abundant high-dimensional regressions; Institute of Mathematical Statistics; Annals Of Statistics, The; 40; 1; 2-2012; 353-384 | - |
| dc.identifier | 0090-5364 | - |
| dc.identifier | http://hdl.handle.net/11336/60500 | - |
| dc.identifier | CONICET Digital | - |
| dc.identifier | CONICET | - |
| dc.identifier.uri | http://rodna.bn.gov.ar:8080/jspui/handle/bnmm/300363 | - |
| dc.description | We study the asymptotic behavior of a class of methods for sufficient dimension reduction in high-dimension regressions, as the sample size and number of predictors grow in various alignments. It is demonstrated that these methods are consistent in a variety of settings, particularly in abundant regressions where most predictors contribute some information on the response, and oracle rates are possible. Simulation results are presented to support the theoretical conclusion. | - |
| dc.description | Fil: Cook, R. Dennis. University of Minnesota; Estados Unidos | - |
| dc.description | Fil: Forzani, Liliana Maria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Matemática Aplicada del Litoral. Universidad Nacional del Litoral. Instituto de Matemática Aplicada del Litoral; Argentina | - |
| dc.description | Fil: Rothman, Adam. University of Minnesota; Estados Unidos | - |
| dc.format | application/pdf | - |
| dc.format | application/pdf | - |
| dc.language | eng | - |
| dc.publisher | Institute of Mathematical Statistics | - |
| dc.relation | info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1214/11-AOS962 | - |
| dc.rights | info:eu-repo/semantics/openAccess | - |
| dc.rights | https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ | - |
| dc.source | reponame:CONICET Digital (CONICET) | - |
| dc.source | instname:Consejo Nacional de Investigaciones Científicas y Técnicas | - |
| dc.source | instacron:CONICET | - |
| dc.subject | CENTRAL SUBSPACE | - |
| dc.subject | ORACLE PROPERTY | - |
| dc.subject | PRINCIPAL FITTED COMPONENTS | - |
| dc.subject | SPARSITY | - |
| dc.subject | SPICE | - |
| dc.subject | SUFFICIENT DIMENSION REDUCTION | - |
| dc.subject | Matemática Pura | - |
| dc.subject | Matemáticas | - |
| dc.subject | CIENCIAS NATURALES Y EXACTAS | - |
| dc.title | Estimating sufficient reductions of the predictors in abundant high-dimensional regressions | - |
| dc.type | info:eu-repo/semantics/article | - |
| dc.type | info:eu-repo/semantics/publishedVersion | - |
| dc.type | info:ar-repo/semantics/articulo | - |
| Aparece en las colecciones: | CONICET | |
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