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stat.ME2025
Regularized Targeted Maximum Likelihood Estimation in Highly Adaptive Lasso Implied Working Models
Yi Li, Sky Qiu, Zeyi Wang +1
We address the challenge of performing Targeted Maximum Likelihood Estimation (TMLE) after an initial Highly Adaptive Lasso (HAL) fit. Existing approaches that utilize the data-ada…
stat.ME2023
Super Ensemble Learning Using the Highly-Adaptive-Lasso
Zeyi Wang, Wenxin Zhang, Brian S Caffo +2
We introduce the Meta Highly-Adaptive-Lasso Minimum Loss Estimator (M-HAL-MLE), a novel ensemble approach for estimating functional parameters of realistically modeled data distrib…