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High-dimensional Ordinary Least-squares Projection for Screening
  Variables

High-dimensional Ordinary Least-squares Projection for Screening Variables

5 June 2015
Xiangyu Wang
Chenlei Leng
ArXivPDFHTML

Papers citing "High-dimensional Ordinary Least-squares Projection for Screening Variables"

7 / 7 papers shown
Title
Ridge partial correlation screening for ultrahigh-dimensional data
Ridge partial correlation screening for ultrahigh-dimensional data
Run Wang
An Nguyen
Somak Dutta
Vivekananda Roy
47
0
0
27 Apr 2025
Factor-Augmented Regularized Model for Hazard Regression
Factor-Augmented Regularized Model for Hazard Regression
Pierre Bayle
Jianqing Fan
19
4
0
03 Oct 2022
Nonparametric augmented probability weighting with sparsity
Nonparametric augmented probability weighting with sparsity
Xin He
Xiaojun Mao
Zhonglei Wang
23
0
0
28 Sep 2022
Are Latent Factor Regression and Sparse Regression Adequate?
Are Latent Factor Regression and Sparse Regression Adequate?
Jianqing Fan
Zhipeng Lou
Mengxin Yu
CML
33
21
0
02 Mar 2022
On the dimension effect of regularized linear discriminant analysis
On the dimension effect of regularized linear discriminant analysis
Cheng-Long Wang
Binyan Jiang
20
15
0
09 Oct 2017
DECOrrelated feature space partitioning for distributed sparse
  regression
DECOrrelated feature space partitioning for distributed sparse regression
Xiangyu Wang
David B. Dunson
Chenlei Leng
26
20
0
08 Feb 2016
Conditional Sure Independence Screening
Conditional Sure Independence Screening
Emre Barut
Jianqing Fan
A. Verhasselt
CML
59
122
0
05 Jun 2012
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