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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
ArXivPDFHTML

Papers citing "Variance Estimation Using Refitted Cross-validation in Ultrahigh Dimensional Regression"

12 / 12 papers shown
Title
Graph fission and cross-validation
Graph fission and cross-validation
James Leiner
Aaditya Ramdas
21
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
25
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
27
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
25
21
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
11
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
11
26
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
19
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
29
10
0
14 May 2018
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
33
57
0
16 May 2017
Marginal false discovery rates for penalized regression models
Marginal false discovery rates for penalized regression models
P. Breheny
17
28
0
19 Jul 2016
Prediction error of cross-validated Lasso
Prediction error of cross-validated Lasso
S. Chatterjee
Jafar Jafarov
32
42
0
23 Feb 2015
Challenges of Big Data Analysis
Challenges of Big Data Analysis
Jianqing Fan
Fang Han
Han Liu
65
1,277
0
07 Aug 2013
1