High dimensional ordinary least squares projection for screening variables

X Wang, C Leng - Journal of the Royal Statistical Society Series …, 2016 - academic.oup.com
Variable selection is a challenging issue in statistical applications when the number of
predictors p far exceeds the number of observations n. In this ultrahigh dimensional setting …

High dimensional ordinary least squares projection for screening variables

X Wang, C Leng - Journal of the Royal Statistical Society: Series B …, 2016 - infona.pl
Variable selection is a challenging issue in statistical applications when the number of
predictors p far exceeds the number of observations n. In this ultrahigh dimensional setting …

High dimensional ordinary least squares projection for screening variables

X Wang, C Leng - Journal of the Royal Statistical Society: Series B …, 2016 - JSTOR
Variable selection is a challenging issue in statistical applications when the number of
predictors p far exceeds the number of observations n. In this ultrahigh dimensional setting …

High dimensional ordinary least squares projection for screening variables

X Wang, C Leng - Journal of the Royal Statistical Society …, 2016 - Wiley Online Library
Variable selection is a challenging issue in statistical applications when the number of
predictors p far exceeds the number of observations n. In this ultrahigh dimensional setting …

High-dimensional ordinary least-squares projection for screening variables

X Wang, C Leng - Journal of the Royal Statistical Society Series …, 2016 - wrap.warwick.ac.uk
Variable selection is a challenging issue in statistical applications when the number of
predictors p far exceeds the number of observations n. In this ultra-high dimensional setting …

[HTML][HTML] High-dimensional Ordinary Least-squares Projection for Screening Variables

X Wang, C Leng - researchain.net
Variable selection is a challenging issue in statistical applications when the number of
predictors p far exceeds the number of observations n. In this ultra-high dimensional setting …

[引用][C] High dimensional ordinary least squares projection for screening variables

X Wang, C Leng - Journal of the Royal Statistical Society Series B, 2016 - ideas.repec.org
High dimensional ordinary least squares projection for screening variables IDEAS home
Advanced search Economic literature: papers, articles, software, chapters, books. Authors …

High-dimensional Ordinary Least-squares Projection for Screening Variables

X Wang, C Leng - arXiv preprint arXiv:1506.01782, 2015 - arxiv.org
Variable selection is a challenging issue in statistical applications when the number of
predictors $ p $ far exceeds the number of observations $ n $. In this ultra-high dimensional …

High dimensional ordinary least squares projection for screening variables.

X Wang, C Leng - Journal of the Royal Statistical Society …, 2016 - search.ebscohost.com
Variable selection is a challenging issue in statistical applications when the number of
predictors p far exceeds the number of observations n. In this ultrahigh dimensional setting …

[引用][C] High dimensional ordinary least squares projection for screening variables

X Wang, C Leng - Journal of the Royal Statistical Society …, 2016 - econpapers.repec.org
EconPapers: High dimensional ordinary least squares projection for screening variables
EconPapers Economics at your fingertips EconPapers Home About EconPapers Working …