Adaptive Lasso for High Dimensional Regression and Gaussian Graphical Modeling
van de Geer, Sara
- Working Paper
We show that the two-stage adaptive Lasso procedure (Zou, 2006) is consistent for high-dimensional model selection in linear and Gaussian graphical models. Our conditions for consistency cover more general situations than those accomplished in previous work: we prove that restricted eigenvalue conditions (Bickel et al., 2008) are also sufficient for sparse structure estimation Show more
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Organisational unit03717 - van de Geer, Sara / van de Geer, Sara
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