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Guarding against Spurious Discoveries in High Dimensions
Many data-mining and statistical machine learning algorithms have been developed to select a subset of covariates to associate with a response variable. Spurious discoveries can easily arise in high-dimensional data analysis due to enormous possibilities of such selections. How can we know statistic...
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| Veröffentlicht in: | J Mach Learn Res |
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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/PMC5603346/ https://ncbi.nlm.nih.gov/pubmed/28936128 |
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