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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…
stat.ML2025
Projection Pursuit Density Ratio Estimation
Meilin Wang, Wei Huang, Mingming Gong +1
Density ratio estimation (DRE) is a paramount task in machine learning, for its broad applications across multiple domains, such as covariate shift adaptation, causal inference, in…
stat.ME2025
Non-parametric Quantile Regression and Uniform Inference with Unknown Error Distribution
Haoze Hou, Wei Huang, Zheng Zhang
This paper studies the non-parametric estimation and uniform inference for the conditional quantile regression function (CQRF) with covariates exposed to measurement errors. We con…