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Uniformly Valid Post-Regularization Confidence Regions for Many
  Functional Parameters in Z-Estimation Framework

Uniformly Valid Post-Regularization Confidence Regions for Many Functional Parameters in Z-Estimation Framework

23 December 2015
A. Belloni
Victor Chernozhukov
Denis Chetverikov
Ying Wei
ArXivPDFHTML

Papers citing "Uniformly Valid Post-Regularization Confidence Regions for Many Functional Parameters in Z-Estimation Framework"

15 / 15 papers shown
Title
High-dimensional Data Bootstrap
High-dimensional Data Bootstrap
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
Yuta Koike
42
30
0
19 May 2022
DoubleML -- An Object-Oriented Implementation of Double Machine Learning
  in R
DoubleML -- An Object-Oriented Implementation of Double Machine Learning in R
Philipp Bach
Victor Chernozhukov
Malte S. Kurz
Martin Spindler
Jan Rabenseifner
GP
34
33
0
17 Mar 2021
Distributed Bootstrap for Simultaneous Inference Under High
  Dimensionality
Distributed Bootstrap for Simultaneous Inference Under High Dimensionality
Yang Yu
Shih-Kang Chao
Guang Cheng
FedML
40
10
0
19 Feb 2021
Inference for high-dimensional exchangeable arrays
Inference for high-dimensional exchangeable arrays
Harold D. Chiang
Kengo Kato
Yuya Sasaki
47
12
0
10 Sep 2020
Improved Central Limit Theorem and bootstrap approximations in high
  dimensions
Improved Central Limit Theorem and bootstrap approximations in high dimensions
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
Yuta Koike
45
74
0
22 Dec 2019
On rank estimators in increasing dimensions
On rank estimators in increasing dimensions
Yanqin Fan
Fang Han
Wei Li
Xiao‐Hua Zhou
28
16
0
14 Aug 2019
Subvector Inference in Partially Identified Models with Many Moment
  Inequalities
Subvector Inference in Partially Identified Models with Many Moment Inequalities
A. Belloni
Federico A. Bugni
Victor Chernozhukov
16
13
0
29 Jun 2018
High-Dimensional Econometrics and Regularized GMM
High-Dimensional Econometrics and Regularized GMM
A. Belloni
Victor Chernozhukov
Denis Chetverikov
Christian B. Hansen
Kengo Kato
33
67
0
05 Jun 2018
Model-assisted inference for treatment effects using regularized
  calibrated estimation with high-dimensional data
Model-assisted inference for treatment effects using regularized calibrated estimation with high-dimensional data
Z. Tan
27
87
0
30 Jan 2018
Fixed effects testing in high-dimensional linear mixed models
Fixed effects testing in high-dimensional linear mixed models
Jelena Bradic
G. Claeskens
Thomas Gueuning
27
17
0
14 Aug 2017
Breaking the curse of dimensionality in regression
Breaking the curse of dimensionality in regression
Yinchu Zhu
Jelena Bradic
34
19
0
01 Aug 2017
Quantile Graphical Models: Prediction and Conditional Independence with
  Applications to Systemic Risk
Quantile Graphical Models: Prediction and Conditional Independence with Applications to Systemic Risk
A. Belloni
Mingli Chen
Victor Chernozhukov
29
7
0
01 Jul 2016
On cross-validated Lasso in high dimensions
On cross-validated Lasso in high dimensions
Denis Chetverikov
Z. Liao
Victor Chernozhukov
34
80
0
07 May 2016
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
73
220
0
21 Jan 2013
Hypothesis Testing in High-Dimensional Regression under the Gaussian
  Random Design Model: Asymptotic Theory
Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory
Adel Javanmard
Andrea Montanari
120
160
0
17 Jan 2013
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