2 papers
stat.ME2024
Semi-Supervised Quantile Estimation: Robust and Efficient Inference in High Dimensional Settings
Abhishek Chakrabortty, Guorong Dai, Raymond J. Carroll
We consider quantile estimation in a semi-supervised setting, characterized by two available data sets: (i) a small or moderate sized labeled data set containing observations for a…
stat.ME2024
A General Framework for Treatment Effect Estimation in Semi-Supervised and High Dimensional Settings
Abhishek Chakrabortty, Guorong Dai
In this article, we aim to provide a general and complete understanding of semi-supervised (SS) causal inference for treatment effects. Specifically, we consider two such estimands…