On the conditions used to prove oracle results for the Lasso
On the conditions used to prove oracle results for the Lasso
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DOI:
10.1214/09-ejs506
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发表时间:
2009-01-01
影响因子:
1.1
通讯作者:
Buehlmann, Peter
中科院分区:
文献类型:
--
作者:
van de Geer, Sara A.;Buehlmann, Peter
Oracle inequalities and variable selection properties for the Lasso in linear models have been established under a variety of different assumptions on the design matrix. We show in this paper how the different conditions and concepts relate to each other. The restricted eigenvalue condition [2] or the slightly weaker compatibility condition [18] are sufficient for oracle results. We argue that both these conditions allow for a fairly general class of design matrices. Hence, optimality of the Lasso for prediction and estimation holds for more general situations than what it appears from coherence [5, 4] or restricted isometry [10] assumptions.