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math.ST2024
Consistency of the bootstrap for asymptotically linear estimators based on machine learning
Zhou Tang, Ted Westling
The bootstrap is a popular method of constructing confidence intervals due to its ease of use and broad applicability. Theoretical properties of bootstrap procedures have been esta…
stat.ME2024
Doubly robust estimation and inference for a log-concave counterfactual density
Daeyoung Ham, Ted Westling, Charles R. Doss
We consider the problem of causal inference based on observational data (or the related missing data problem) with a binary or discrete treatment variable. In that context, we stud…