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Inference on causal and structural parameters using many moment
  inequalities
v1v2v3v4v5v6 (latest)

Inference on causal and structural parameters using many moment inequalities

30 December 2013
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
ArXiv (abs)PDFHTML

Papers citing "Inference on causal and structural parameters using many moment inequalities"

25 / 25 papers shown
Title
Detecting relevant deviations from the white noise assumption for
  non-stationary time series
Detecting relevant deviations from the white noise assumption for non-stationary time series
Patrick Bastian
54
0
0
11 Nov 2024
Gradual changes in functional time series
Gradual changes in functional time series
Patrick Bastian
Holger Dette
AI4TS
104
3
0
10 Jul 2024
A Global Wavelet Based Bootstrapped Test of Covariance Stationarity
A Global Wavelet Based Bootstrapped Test of Covariance Stationarity
Jonathan B. Hill
Tianqi Li
63
1
0
25 Oct 2022
Heterogeneous Treatment Effect Bounds under Sample Selection with an
  Application to the Effects of Social Media on Political Polarization
Heterogeneous Treatment Effect Bounds under Sample Selection with an Application to the Effects of Social Media on Political Polarization
Phillip Heiler
CML
25
4
0
09 Sep 2022
Testing Many Constraints in Possibly Irregular Models Using Incomplete
  U-Statistics
Testing Many Constraints in Possibly Irregular Models Using Incomplete U-Statistics
Nils Sturma
Mathias Drton
Dennis Leung
98
5
0
24 Aug 2022
High-dimensional Data Bootstrap
High-dimensional Data Bootstrap
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
Yuta Koike
87
32
0
19 May 2022
Validating Approximate Slope Homogeneity in Large Panels
Validating Approximate Slope Homogeneity in Large Panels
T. Kutta
Holger Dette
68
2
0
04 May 2022
Statistical Inference for Heterogeneous Treatment Effects Discovered by
  Generic Machine Learning in Randomized Experiments
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
Kosuke Imai
Michael Lingzhi Li
CML
41
15
0
28 Mar 2022
Sequential Gaussian approximation for nonstationary time series in high
  dimensions
Sequential Gaussian approximation for nonstationary time series in high dimensions
Fabian Mies
A. Steland
70
15
0
07 Mar 2022
Stochastic Causal Programming for Bounding Treatment Effects
Stochastic Causal Programming for Bounding Treatment Effects
Kirtan Padh
Jakob Zeitler
David S. Watson
Matt J. Kusner
Ricardo M. A. Silva
Niki Kilbertus
CML
99
26
0
22 Feb 2022
Power-enhanced simultaneous test of high-dimensional mean vectors and
  covariance matrices with application to gene-set testing
Power-enhanced simultaneous test of high-dimensional mean vectors and covariance matrices with application to gene-set testing
Xiufan Yu
Danning Li
Lingzhou Xue
Runze Li
353
23
0
30 Sep 2021
Central limit theorems for high dimensional dependent data
Central limit theorems for high dimensional dependent data
Jinyuan Chang
Xiaohui Chen
Mingcong Wu
61
31
0
27 Apr 2021
Gaussian approximation and spatially dependent wild bootstrap for
  high-dimensional spatial data
Gaussian approximation and spatially dependent wild bootstrap for high-dimensional spatial data
Daisuke Kurisu
Kengo Kato
Xiaofeng Shao
123
12
0
19 Mar 2021
Testing (Infinitely) Many Zero Restrictions
Testing (Infinitely) Many Zero Restrictions
Jonathan B. Hill
93
0
0
03 Nov 2020
Inference for high-dimensional exchangeable arrays
Inference for high-dimensional exchangeable arrays
Harold D. Chiang
Kengo Kato
Yuya Sasaki
93
12
0
10 Sep 2020
Lasso Inference for High-Dimensional Time Series
Lasso Inference for High-Dimensional Time Series
R. Adámek
Stephan Smeekes
Ines Wilms
AI4TS
105
35
0
21 Jul 2020
Nonparametric regression for locally stationary random fields under
  stochastic sampling design
Nonparametric regression for locally stationary random fields under stochastic sampling design
Daisuke Kurisu
85
14
0
13 May 2020
High-dimensional Central Limit Theorems by Stein's Method
High-dimensional Central Limit Theorems by Stein's Method
Xiao Fang
Yuta Koike
78
42
0
29 Jan 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
97
74
0
22 Dec 2019
Directing Power Towards Conic Parameter Subspaces
Directing Power Towards Conic Parameter Subspaces
Nick W. Koning
55
1
0
11 Jul 2019
Exact Testing of Many Moment Inequalities Against Multiple Violations
Exact Testing of Many Moment Inequalities Against Multiple Violations
Nick W. Koning
P. Bekker
68
5
0
29 Apr 2019
On nonparametric inference for spatial regression models under domain
  expanding and infill asymptotics
On nonparametric inference for spatial regression models under domain expanding and infill asymptotics
Daisuke Kurisu
53
9
0
25 Apr 2018
Estimation and Inference on Heterogeneous Treatment Effects in
  High-Dimensional Dynamic Panels under Weak Dependence
Estimation and Inference on Heterogeneous Treatment Effects in High-Dimensional Dynamic Panels under Weak Dependence
Vira Semenova
Matt Goldman
Victor Chernozhukov
Matt Taddy
CML
61
13
0
28 Dec 2017
Cross-Validation with Confidence
Cross-Validation with Confidence
Jing Lei
97
86
0
23 Mar 2017
Inference in partially identified models with many moment inequalities
  using Lasso
Inference in partially identified models with many moment inequalities using Lasso
Federico A. Bugni
Mehmet Caner
Anders Bredahl Kock
S. Lahiri
48
10
0
08 Apr 2016
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