3 papers
math.ST2025
Neumann-series corrections for regression adjustment in randomized experiments
Dogyoon Song
We study average treatment effect (ATE) estimation under complete randomization with many covariates in a design-based, finite-population framework. In randomized experiments, regr…
math.ST2025
Design-based finite-sample analysis for regression adjustment
Dogyoon Song
In randomized experiments, regression adjustment can improve the precision of average treatment effect (ATE) estimation using covariates without requiring a correctly specified out…
math.ST2023
Benign overfitting beyond prediction: The ordinary least squares interpolator
Dennis Shen, Dogyoon Song, Peng Ding +1
Recent advances in deep learning have highlighted the phenomenon of benign overfitting in overparameterized statistical models, sparking significant interest in understanding its f…