2 papers
stat.ME2026
Multi-Fidelity Quantile Regression
Yixiang Liu, Yao Zhang
High-fidelity (HF) data are often expensive to collect and therefore scarce, making conditional quantiles difficult to estimate accurately. We propose a two-stage, model-agnostic m…
stat.ME2026
Fit CATE Once: Model-Assisted Randomization Tests Without Sample Splitting
Fangnan Zheng, Yao Zhang
Randomization tests and flexible treatment-effect models offer complementary strengths for analyzing data from randomized panel experiments: the former provide valid inference unde…