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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

5 May 2021
Niloofar Moosavi
J. Haggstrom
X. de Luna
ArXivPDFHTML

Papers citing "The costs and benefits of uniformly valid causal inference with high-dimensional nuisance parameters"

4 / 4 papers shown
Title
Causal inference targeting a concentration index for studies of health
  inequalities
Causal inference targeting a concentration index for studies of health inequalities
Mohammad Ghasempour
X. de Luna
Per E. Gustafsson
18
0
0
11 Oct 2024
Valid causal inference with unobserved confounding in high-dimensional
  settings
Valid causal inference with unobserved confounding in high-dimensional settings
Niloofar Moosavi
T. Gorbach
X. de Luna
17
1
0
12 Jan 2024
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
40
7
0
24 Jul 2023
Convolutional neural networks for valid and efficient causal inference
Convolutional neural networks for valid and efficient causal inference
Mohammad Ghasempour
Niloofar Moosavi
X. de Luna
CML
40
2
0
27 Jan 2023
1