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Parallelism, uniqueness, and large-sample asymptotics for the Dantzig selector
The Dantzig selector (Candès and Tao, 2007) is a popular ℓ(1)-regularization method for variable selection and estimation in linear regression. We present a very weak geometric condition on the observed predictors which is related to parallelism and, when satisfied, ensures the uniqueness of Dantzig...
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| Hauptverfasser: | , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2012
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3625047/ https://ncbi.nlm.nih.gov/pubmed/23589664 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/cjs.11151 |
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