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Sparse regression and marginal testing using cluster prototypes
We propose a new approach for sparse regression and marginal testing, for data with correlated features. Our procedure first clusters the features, and then chooses as the cluster prototype the most informative feature in that cluster. Then we apply either sparse regression (lasso) or marginal signi...
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| 出版年: | Biostatistics |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Oxford University Press
2016
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5006118/ https://ncbi.nlm.nih.gov/pubmed/26614384 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biostatistics/kxv049 |
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