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Nonparametric Bootstrap Inference for the Targeted Highly Adaptive LASSO
  Estimator
v1v2 (latest)

Nonparametric Bootstrap Inference for the Targeted Highly Adaptive LASSO Estimator

23 May 2019
Weixin Cai
Mark van der Laan
ArXiv (abs)PDFHTML

Papers citing "Nonparametric Bootstrap Inference for the Targeted Highly Adaptive LASSO Estimator"

4 / 4 papers shown
Title
Adaptive debiased machine learning using data-driven model selection
  techniques
Adaptive debiased machine learning using data-driven model selection techniques
L. Laan
M. Carone
Alexander Luedtke
Mark van der Laan
74
9
0
24 Jul 2023
The costs and benefits of uniformly valid causal inference with
  high-dimensional nuisance parameters
The costs and benefits of uniformly valid causal inference with high-dimensional nuisance parameters
Niloofar Moosavi
J. Haggstrom
X. de Luna
64
15
0
05 May 2021
Considerations Across Three Cultures: Parametric Regressions,
  Interpretable Algorithms, and Complex Algorithms
Considerations Across Three Cultures: Parametric Regressions, Interpretable Algorithms, and Complex Algorithms
A. Eloyan
Sherri Rose
TPM
51
0
0
14 Apr 2021
Nonparametric inverse probability weighted estimators based on the
  highly adaptive lasso
Nonparametric inverse probability weighted estimators based on the highly adaptive lasso
Ashkan Ertefaie
N. Hejazi
M. J. van der Laan
135
24
0
22 May 2020
1