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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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Bibliographische Detailangaben
Veröffentlicht in:Sci China Math
Hauptverfasser: Wang, Luheng, Liu, Jingyuan, Li, Yong, Li, Runze
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2016
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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