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Model-Free Conditional Independence Feature Screening For Ultrahigh Dimensional Data
Feature screening plays an important role in ultrahigh dimensional data analysis. This paper is concerned with conditional feature screening when one is interested in detecting the association between the response and ultrahigh dimensional predictors (e.g., genetic makers) given a low-dimensional ex...
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| Veröffentlicht in: | Sci China Math |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2016
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5480220/ https://ncbi.nlm.nih.gov/pubmed/28649265 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11425-016-0186-8 |
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