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math.ST2024
When is it worthwhile to jackknife? Breaking the quadratic barrier for Z-estimators
Licong Lin, Fangzhou Su, Wenlong Mou +2
Resampling methods are especially well-suited to inference with estimators that provide only "black-box'' access. Jackknife is a form of resampling, widely used for bias correction…
math.ST2023★ 1 cited
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…