3 papers
math.ST2026
Statistical Inference on Gradient Flows
Tongyu Li, Alexander Giessing
Gradient-based algorithms are central to modern statistical estimation, yet their statistical analysis is often restricted to fixed-time behavior, such as convergence to a populati…
stat.ME2025
Nonparametric Inference on Dose-Response Curves Without the Positivity Condition
Yikun Zhang, Yen-Chi Chen, Alexander Giessing
Existing statistical methods in causal inference often assume the positivity condition, where every individual has some chance of receiving any treatment level regardless of covari…
stat.ME2024
Efficient Inference on High-Dimensional Linear Models with Missing Outcomes
Yikun Zhang, Alexander Giessing, Yen-Chi Chen
This paper is concerned with inference on the regression function of a high-dimensional linear model when outcomes are missing at random. We propose an estimator which combines a L…