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LOCAL INDEPENDENCE FEATURE SCREENING FOR NONPARAMETRIC AND SEMIPARAMETRIC MODELS BY MARGINAL EMPIRICAL LIKELIHOOD
We consider an independence feature screening technique for identifying explanatory variables that locally contribute to the response variable in high-dimensional regression analysis. Without requiring a specific parametric form of the underlying data model, our approach accommodates a wide spectrum...
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| 發表在: | Ann Stat |
|---|---|
| Main Authors: | , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
2016
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4883127/ https://ncbi.nlm.nih.gov/pubmed/27242388 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/15-AOS1374 |
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