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Variance Estimation Using Refitted Cross-validation in Ultrahigh
  Dimensional Regression

Variance Estimation Using Refitted Cross-validation in Ultrahigh Dimensional Regression

29 April 2010
Jianqing Fan
Shaojun Guo
Ning Hao
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Papers citing "Variance Estimation Using Refitted Cross-validation in Ultrahigh Dimensional Regression"

18 / 18 papers shown
Title
Graph fission and cross-validation
Graph fission and cross-validation
James Leiner
Aaditya Ramdas
33
0
0
26 Jan 2024
Communication-efficient Distributed Newton-like Optimization with
  Gradients and M-estimators
Communication-efficient Distributed Newton-like Optimization with Gradients and M-estimators
Ziyan Yin
32
0
0
13 Jul 2022
Error-based Knockoffs Inference for Controlled Feature Selection
Error-based Knockoffs Inference for Controlled Feature Selection
Xuebin Zhao
H. Chen
Yingjie Wang
Weifu Li
Tieliang Gong
Yulong Wang
Feng Zheng
36
1
0
09 Mar 2022
Are Latent Factor Regression and Sparse Regression Adequate?
Are Latent Factor Regression and Sparse Regression Adequate?
Jianqing Fan
Zhipeng Lou
Mengxin Yu
CML
41
23
0
02 Mar 2022
Misspecification Analysis of High-Dimensional Random Effects Models for
  Estimation of Signal-to-Noise Ratios
Misspecification Analysis of High-Dimensional Random Effects Models for Estimation of Signal-to-Noise Ratios
Xiaohan Hu
Xiaodong Li
21
1
0
13 Feb 2022
Localized Debiased Machine Learning: Efficient Inference on Quantile
  Treatment Effects and Beyond
Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond
Nathan Kallus
Xiaojie Mao
Masatoshi Uehara
25
25
0
30 Dec 2019
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
Model selection with lasso-zero: adding straw to the haystack to better
  find needles
Model selection with lasso-zero: adding straw to the haystack to better find needles
Pascaline Descloux
S. Sardy
47
10
0
14 May 2018
RANK: Large-Scale Inference with Graphical Nonlinear Knockoffs
RANK: Large-Scale Inference with Graphical Nonlinear Knockoffs
Yingying Fan
Emre Demirkaya
Gaorong Li
Jinchi Lv
23
70
0
31 Aug 2017
In Defense of the Indefensible: A Very Naive Approach to
  High-Dimensional Inference
In Defense of the Indefensible: A Very Naive Approach to High-Dimensional Inference
Sen Zhao
Daniela Witten
Ali Shojaie
46
57
0
16 May 2017
Marginal false discovery rates for penalized regression models
Marginal false discovery rates for penalized regression models
P. Breheny
22
28
0
19 Jul 2016
Ridge regression and asymptotic minimax estimation over spheres of
  growing dimension
Ridge regression and asymptotic minimax estimation over spheres of growing dimension
Lee H. Dicker
28
75
0
15 Jan 2016
Independence test for high dimensional data based on regularized
  canonical correlation coefficients
Independence test for high dimensional data based on regularized canonical correlation coefficients
Yanrong Yang
G. Pan
22
44
0
18 Mar 2015
Prediction error of cross-validated Lasso
Prediction error of cross-validated Lasso
S. Chatterjee
Jafar Jafarov
48
42
0
23 Feb 2015
Semi-Penalized Inference with Direct False Discovery Rate Control in
  High-Dimensions
Semi-Penalized Inference with Direct False Discovery Rate Control in High-Dimensions
Jian Huang
Shuangge Ma
Cun-Hui Zhang
Yong Zhou
65
6
0
29 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
Distributions of Angles in Random Packing on Spheres
Distributions of Angles in Random Packing on Spheres
Tony Cai
Jianqing Fan
Tiefeng Jiang
57
182
0
02 Jun 2013
A significance test for the lasso
A significance test for the lasso
R. Lockhart
Jonathan E. Taylor
R. Tibshirani
Robert Tibshirani
64
656
0
30 Jan 2013
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