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stat.ME2026
Integrating Heterogeneous Information in Randomized Experiments: A Unified Calibration Framework
Wei Ma, Zeqi Wu, Zheng Zhang
In modern randomized experiments, large-scale data collection increasingly yields rich baseline covariates and auxiliary information from multiple sources. Such information offers…
stat.ME2025
A New and Efficient Debiased Estimation of General Treatment Models by Balanced Neural Networks Weighting
Zeqi Wu, Meilin Wang, Wei Huang +1
Estimation and inference of treatment effects under unconfounded treatment assignments often suffer from bias and the `curse of dimensionality' due to the nonparametric estimation…