Search Results for author:
Found 4 papers, 3 papers with code
Scalable kernel balancing weights in a nationwide observational study of hospital profit status and heart attack outcomes
Weighting is a general and often-used method for statistical adjustment.
Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning
We propose a simple and general framework for nonparametric estimation of heterogeneous treatment effects under fairness constraints.
Doubly Robust Counterfactual Classification
We study counterfactual classification as a new tool for decision-making under hypothetical (contrary to fact) scenarios.
Minimal Dispersion Approximately Balancing Weights: Asymptotic Properties and Practical Considerations
The key observation is the connection between approximate covariate balance and shrinkage estimation of the propensity score.
Methodology Statistics Theory Applications Statistics Theory
