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stat.ME2026
Neyman-Pearson and equal opportunity: when efficiency meets fairness in classification
Jianqing Fan, Xin Tong, Yanhui Wu +2
Organizations often rely on statistical algorithms to make socially and economically impactful decisions. We must address the fairness issues in these important automated decisions…
stat.ME2024
Inference for linear functionals of high-dimensional longitudinal proteomics data using generalized estimating equations
Lu Xia, Ali Shojaie
Regression analysis of correlated data, where multiple correlated responses are recorded on the same unit, is ubiquitous in many scientific areas. With the advent of new technologi…