15 citations · 35 across the 21 of their papers we have counts for
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stat.ME2021
An Empirical Bayes Approach to Controlling the False Discovery Exceedance
Pallavi Basu, Luella Fu, Alessio Saretto +1
In large-scale multiple hypothesis testing problems, the false discovery exceedance (FDX) provides a desirable alternative to the widely used false discovery rate (FDR) when the fa…
stat.ME2021★ 3 cited
A Burden Shared is a Burden Halved: A Fairness-Adjusted Approach to Classification
Bradley Rava, Wenguang Sun, Gareth M. James +1
We investigate the fairness issue in classification, where automated decisions are made for individuals from different protected groups. In high-consequence scenarios, decision err…
stat.ME2021
ZAP: -value Adaptive Procedures for False Discovery Rate Control with Side Information
Dennis Leung, Wenguang Sun
Adaptive multiple testing with covariates is an important research direction that has gained major attention in recent years. It has been widely recognized that leveraging side inf…