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Forward Stagewise Shrinkage and Addition for High Dimensional Censored Regression
Despite enormous development on variable selection approaches in recent years, modeling and selection of high dimensional censored regression remains a challenging question. When the number of predictors p far exceeds the number of observational units n and the outcome is censored, computations of e...
में बचाया:
| में प्रकाशित: | Stat Biosci |
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| मुख्य लेखकों: | , , |
| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
2014
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| विषय: | |
| ऑनलाइन पहुंच: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4758989/ https://ncbi.nlm.nih.gov/pubmed/26904152 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s12561-014-9114-4 |
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