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Nonparametric Independence Screening in Sparse Ultra-High Dimensional
  Additive Models

Nonparametric Independence Screening in Sparse Ultra-High Dimensional Additive Models

14 December 2009
Jianqing Fan
Yang Feng
Rui Song
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Papers citing "Nonparametric Independence Screening in Sparse Ultra-High Dimensional Additive Models"

24 / 24 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
52
0
0
27 Apr 2025
Grouped feature screening for ultrahigh-dimensional classification via
  Gini distance correlation
Grouped feature screening for ultrahigh-dimensional classification via Gini distance correlation
Yongli Sang
Xin Dang
14
6
0
17 Apr 2023
Discrete-time Competing-Risks Regression with or without Penalization
Discrete-time Competing-Risks Regression with or without Penalization
T. Meir
M. Gorfine
27
4
0
02 Mar 2023
Nonparametric augmented probability weighting with sparsity
Nonparametric augmented probability weighting with sparsity
Xin He
Xiaojun Mao
Zhonglei Wang
23
0
0
28 Sep 2022
A Splicing Approach to Best Subset of Groups Selection
A Splicing Approach to Best Subset of Groups Selection
Yanhang Zhang
Junxian Zhu
Jin Zhu
Xueqin Wang
18
18
0
23 Apr 2021
Model-free Feature Screening and FDR Control with Knockoff Features
Model-free Feature Screening and FDR Control with Knockoff Features
Wanjun Liu
Y. Ke
Jingyuan Liu
Runze Li
24
56
0
19 Aug 2019
Sparse Representation Classification via Screening for Graphs
Sparse Representation Classification via Screening for Graphs
Cencheng Shen
Li-Wei Chen
Yuexiao Dong
Carey Priebe
15
0
0
04 Jun 2019
Efficient kernel-based variable selection with sparsistency
Efficient kernel-based variable selection with sparsistency
Xin He
Junhui Wang
Shaogao Lv
32
7
0
26 Feb 2018
A sure independence screening procedure for ultra-high dimensional
  partially linear additive models
A sure independence screening procedure for ultra-high dimensional partially linear additive models
Mohammad Kazemi
D. Shahsavani
M. Arashi
32
7
0
29 Aug 2017
Estimation and Inference on Nonlinear and Heterogeneous Effects
Estimation and Inference on Nonlinear and Heterogeneous Effects
Marc Ratkovic
D. Tingley
12
11
0
16 Mar 2017
High-dimensional Ordinary Least-squares Projection for Screening
  Variables
High-dimensional Ordinary Least-squares Projection for Screening Variables
Xiangyu Wang
Chenlei Leng
32
125
0
05 Jun 2015
Local independence feature screening for nonparametric and
  semiparametric models by marginal empirical likelihood
Local independence feature screening for nonparametric and semiparametric models by marginal empirical likelihood
Jinyuan Chang
C. Tang
Yichao Wu
FAtt
51
43
0
25 Feb 2015
Sparse Representation Classification Beyond L1 Minimization and the
  Subspace Assumption
Sparse Representation Classification Beyond L1 Minimization and the Subspace Assumption
Cencheng Shen
Li-Wei Chen
Yuexiao Dong
Carey E. Priebe
BDL
29
9
0
04 Feb 2015
Sure Screening for Gaussian Graphical Models
Sure Screening for Gaussian Graphical Models
S. Luo
R. Song
Daniela Witten
29
22
0
29 Jul 2014
Feature Augmentation via Nonparametrics and Selection (FANS) in High
  Dimensional Classification
Feature Augmentation via Nonparametrics and Selection (FANS) in High Dimensional Classification
Jianqing Fan
Yang Feng
Jiancheng Jiang
X. Tong
63
42
0
31 Dec 2013
Impacts of high dimensionality in finite samples
Impacts of high dimensionality in finite samples
Jinchi Lv
36
20
0
12 Nov 2013
Global Sensitivity Analysis with Dependence Measures
Global Sensitivity Analysis with Dependence Measures
Sébastien Da Veiga
65
160
0
11 Nov 2013
Challenges of Big Data Analysis
Challenges of Big Data Analysis
Jianqing Fan
Fang Han
Han Liu
74
1,278
0
07 Aug 2013
Quantile-adaptive model-free variable screening for high-dimensional
  heterogeneous data
Quantile-adaptive model-free variable screening for high-dimensional heterogeneous data
Xuming He
Lan Wang
H. Hong
58
241
0
08 Apr 2013
Conditional Sure Independence Screening
Conditional Sure Independence Screening
Emre Barut
Jianqing Fan
A. Verhasselt
CML
70
121
0
05 Jun 2012
Local Linear Regression on Manifolds and its Geometric Interpretation
Local Linear Regression on Manifolds and its Geometric Interpretation
Ming-Yen Cheng
Hau‐Tieng Wu
39
87
0
01 Jan 2012
Focused information criterion and model averaging for generalized
  additive partial linear models
Focused information criterion and model averaging for generalized additive partial linear models
Xinyu Zhang
Hua Liang
57
155
0
08 Mar 2011
Robust rank correlation based screening
Robust rank correlation based screening
Gaorong Li
Heng Peng
Jun Zhang
Lixing Zhu
86
322
0
20 Dec 2010
High-dimensional additive modeling
High-dimensional additive modeling
L. Meier
Sara van de Geer
Peter Buhlmann
195
481
0
25 Jun 2008
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