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High-Dimensional Econometrics and Regularized GMM

High-Dimensional Econometrics and Regularized GMM

5 June 2018
A. Belloni
Victor Chernozhukov
Denis Chetverikov
Christian B. Hansen
Kengo Kato
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Papers citing "High-Dimensional Econometrics and Regularized GMM"

7 / 7 papers shown
Title
High-dimensional Data Bootstrap
High-dimensional Data Bootstrap
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
Yuta Koike
29
28
0
19 May 2022
Asymptotic normality in linear regression with approximately sparse
  structure
Asymptotic normality in linear regression with approximately sparse structure
Saulius Jokubaitis
R. Leipus
8
1
0
08 Mar 2022
Central Limit Theorem and Bootstrap Approximation in High Dimensions:
  Near $1/\sqrt{n}$ Rates via Implicit Smoothing
Central Limit Theorem and Bootstrap Approximation in High Dimensions: Near 1/n1/\sqrt{n}1/n​ Rates via Implicit Smoothing
Miles E. Lopes
17
20
0
13 Sep 2020
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
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
30
74
0
22 Dec 2019
On cross-validated Lasso in high dimensions
On cross-validated Lasso in high dimensions
Denis Chetverikov
Z. Liao
Victor Chernozhukov
12
79
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
55
221
0
21 Jan 2013
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