Doubly-robust inference and optimality in structure-agnostic models with smoothness
We study the problem of constructing an estimator of the average treatment effect (ATE) that
exhibits doubly-robust asymptotic linearity (DRAL). This is a stronger requirement than …
exhibits doubly-robust asymptotic linearity (DRAL). This is a stronger requirement than …
On the Asymptotic Properties of Debiased Machine Learning Estimators
A Velez - arXiv preprint arXiv:2411.01864, 2024 - arxiv.org
This paper studies the properties of debiased machine learning (DML) estimators under a
novel asymptotic framework, offering insights for improving the performance of these …
novel asymptotic framework, offering insights for improving the performance of these …
Non-plug-in estimators could outperform plug-in estimators: a cautionary note and a diagnosis
H Qiu - Epidemiologic Methods, 2024 - degruyter.com
Objectives Highly flexible nonparametric estimators have gained popularity in causal
inference and epidemiology. Popular examples of such estimators include targeted …
inference and epidemiology. Popular examples of such estimators include targeted …