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Consistent group selection in high-dimensional linear regression

In regression problems where covariates can be naturally grouped, the group Lasso is an attractive method for variable selection since it respects the grouping structure in the data. We study the selection and estimation properties of the group Lasso in high-dimensional settings when the number of g...

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Sonraí Bibleagrafaíochta
Main Authors: WEI, FENGRONG, HUANG, JIAN
Formáid: Artigo
Teanga:Inglês
Foilsithe: 2010
Ábhair:
Rochtain Ar Líne:https://ncbi.nlm.nih.gov/pmc/articles/PMC3209717/
https://ncbi.nlm.nih.gov/pubmed/22072891
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3150/10-BEJ252
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