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Debiased Inverse Propensity Score Weighting for Estimation of Average
  Treatment Effects with High-Dimensional Confounders

Debiased Inverse Propensity Score Weighting for Estimation of Average Treatment Effects with High-Dimensional Confounders

17 November 2020
Yuhao Wang
Rajen Dinesh Shah
ArXivPDFHTML

Papers citing "Debiased Inverse Propensity Score Weighting for Estimation of Average Treatment Effects with High-Dimensional Confounders"

5 / 5 papers shown
Title
Multivariate root-n-consistent smoothing parameter free matching estimators and estimators of inverse density weighted expectations
Multivariate root-n-consistent smoothing parameter free matching estimators and estimators of inverse density weighted expectations
H. Holzmann
A. Meister
46
1
0
17 Feb 2025
A decorrelation method for general regression adjustment in randomized
  experiments
A decorrelation method for general regression adjustment in randomized experiments
Fangzhou Su
Wenlong Mou
Peng Ding
Martin J. Wainwright
19
1
0
16 Nov 2023
Minimax Semiparametric Learning With Approximate Sparsity
Minimax Semiparametric Learning With Approximate Sparsity
Jelena Bradic
Victor Chernozhukov
Whitney Newey
Yinchu Zhu
42
21
0
27 Dec 2019
ranger: A Fast Implementation of Random Forests for High Dimensional
  Data in C++ and R
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R
Marvin N. Wright
A. Ziegler
93
2,729
0
18 Aug 2015
High-dimensional generalized linear models and the lasso
High-dimensional generalized linear models and the lasso
Sara van de Geer
181
748
0
04 Apr 2008
1