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We consider estimation of average treatment effects given observational data with high-dimensional pretreatment variables.
Sparsity double robust inference of average treatment effects
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D. B. Rubin · 1974
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J. M. Robins, A. Rotnitzky, and L. P. Zhao · 1994
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D. O. Scharfstein, A. Rotnitzky, and J. M. Robins · 1999
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Random forests
Leo Breiman · 2001
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Nonparametric estimation of average treatment effects under exogeneity: A review
Guido W Imbens · 2004
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Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study
Jared K Lunceford and Marie Davidian · 2004
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M. J. Van Der Laan and D. Rubin · 2006
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High-dimensional generalized linear models and the lasso
Sara A Van de Geer et al · 2008
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Regularization paths for generalized linear models via coordinate descent
Jerome Friedman, Trevor Hastie, and Rob Tibshirani · 2010
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Inference on treatment effects after selection among high-dimensional controls
Alexandre Belloni, Victor Chernozhukov, and Christian Hansen · 2014
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Sara Van de Geer, Peter Bühlmann, Ya’acov Ritov, and Ruben Dezeure · 2014
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High-dimensional probability: An introduction with applications in data science , volume 47
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A unifying approach for doubly-robust ℓ 1 \ell_{1} regularized estimation of causal contrasts
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