Estimation of Conditional Average Treatment Effects With High-Dimensional Data

Non-separable models with high-dimensional data

(2019) Liangjun Su et al.   JOURNAL OF ECONOMETRICS

Double/debiased machine learning for treatment and structural parameters

(2018) Victor Chernozhukov et al.   Econometrics Journal

Estimation and Inference of Heterogeneous Treatment Effects using Random Forests

(2018) Stefan Wager et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference

(2017) Sebastian Calonico et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Statistical inference for the mean outcome under a possibly non-unique optimal treatment strategy

(2016) Alexander R. Luedtke et al.   ANNALS OF STATISTICS

Super-Learning of an Optimal Dynamic Treatment Rule

(2016) Alexander R. Luedtke et al.  

Non-parametric methods for doubly robust estimation of continuous treatment effects

(2016) Edward H. Kennedy et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Super-Learning of an Optimal Dynamic Treatment Rule

(2016) Alexander R. Luedtke et al.   International Journal of Biostatistics

Estimating Conditional Average Treatment Effects

(2015) Jason Abrevaya et al.   JOURNAL OF BUSINESS & ECONOMIC STATISTICS

Robust inference on average treatment effects with possibly more covariates than observations

(2015) Max H. Farrell   JOURNAL OF ECONOMETRICS

Gaussian approximation of suprema of empirical processes

(2014) Victor Chernozhukov et al.   ANNALS OF STATISTICS