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Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors
Penalized regression is an attractive framework for variable selection problems. Often, variables possess a grouping structure, and the relevant selection problem is that of selecting groups, not individual variables. The group lasso has been proposed as a way of extending the ideas of the lasso to...
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| Veröffentlicht in: | Stat Comput |
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| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2013
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4349417/ https://ncbi.nlm.nih.gov/pubmed/25750488 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11222-013-9424-2 |
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