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Simultaneous Inference for High-dimensional Linear Models

Simultaneous Inference for High-dimensional Linear Models

3 March 2016
Xianyang Zhang
Guang Cheng
ArXivPDFHTML

Papers citing "Simultaneous Inference for High-dimensional Linear Models"

11 / 11 papers shown
Title
Sparsified Simultaneous Confidence Intervals for High-Dimensional Linear Models
Sparsified Simultaneous Confidence Intervals for High-Dimensional Linear Models
Xiaorui Zhu
Yi Qin
Peng Wang
18
0
0
14 Jul 2023
Finite- and Large- Sample Inference for Model and Coefficients in
  High-dimensional Linear Regression with Repro Samples
Finite- and Large- Sample Inference for Model and Coefficients in High-dimensional Linear Regression with Repro Samples
P. Wang
Min-ge Xie
Linjun Zhang
40
5
0
19 Sep 2022
High-dimensional Data Bootstrap
High-dimensional Data Bootstrap
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
Yuta Koike
31
28
0
19 May 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
Distributed Bootstrap for Simultaneous Inference Under High
  Dimensionality
Distributed Bootstrap for Simultaneous Inference Under High Dimensionality
Yang Yu
Shih-Kang Chao
Guang Cheng
FedML
35
10
0
19 Feb 2021
Sparse Confidence Sets for Normal Mean Models
Sparse Confidence Sets for Normal Mean Models
Y. Ning
Guang Cheng
32
2
0
17 Aug 2020
Method of Contraction-Expansion (MOCE) for Simultaneous Inference in
  Linear Models
Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models
Fei-Yue Wang
Ling Zhou
Lu Tang
P. Song
23
4
0
04 Aug 2019
Bootstrapping Max Statistics in High Dimensions: Near-Parametric Rates
  Under Weak Variance Decay and Application to Functional and Multinomial Data
Bootstrapping Max Statistics in High Dimensions: Near-Parametric Rates Under Weak Variance Decay and Application to Functional and Multinomial Data
Miles E. Lopes
Zhenhua Lin
Hans-Georg Mueller
26
7
0
12 Jul 2018
High-Dimensional Econometrics and Regularized GMM
High-Dimensional Econometrics and Regularized GMM
A. Belloni
Victor Chernozhukov
Denis Chetverikov
Christian B. Hansen
Kengo Kato
26
67
0
05 Jun 2018
A modern maximum-likelihood theory for high-dimensional logistic
  regression
A modern maximum-likelihood theory for high-dimensional logistic regression
Pragya Sur
Emmanuel J. Candes
23
285
0
19 Mar 2018
Comparison and anti-concentration bounds for maxima of Gaussian random
  vectors
Comparison and anti-concentration bounds for maxima of Gaussian random vectors
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
63
219
0
21 Jan 2013
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