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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...

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Bibliografiske detaljer
Udgivet i:Stat Biosci
Main Authors: Guo, Zifang, Lu, Wenbin, Li, Lexin
Format: Artigo
Sprog:Inglês
Udgivet: 2014
Fag:
Online adgang: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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