2025
Small Resamples, Sharp Guarantees: Convergence Rates for Resampled Studentized Quantile Estimators
NeurIPS 2025poster
The m-out-of-n bootstrap—proposed by \cite{bickel1992resampling}—approximates the distribution of a statistic by repeatedly drawing $m$ subsamples ($m \ll n$) without replacement from an original sample of size n; it is now routinely used for robust inference with heavy-tailed data, bandwidth select…