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Tiny but uniform improvements of adaptive BH procedures via compound e-values
arXiv stat.TH0 views
arXiv:2603.21424v2 Announce Type: replace-cross Abstract: After the seminal Benjamini--Hochberg (BH) procedure for controlling the false discovery rate (FDR) was proposed, dozens of papers have attempted to improve its power by adapting to the unknown proportion of nulls. We observe that most null-proportion estimates are simply compound e-values in disguise, and thus most adaptive FDR procedures can be interpreted as instances of the e-weighted BH (ep-BH) procedure of Ignatiadis, Wang, and Ramdas [2024], i.e., the BH procedure weighted by compound e-values. This lens helps us show that most existing procedures are inadmissible, and we provide uniform improvements to them. While the improvements are small in practice, they still come for free (without additional assumptions), and help unify the literature. We also use our "leave-one-out ep-BH method" to design a new method with finite-sample FDR control for the simultaneous t-test setting.
Source:https://arxiv.org/abs/2603.21424PreviousStatistical Inference and Learning for Shapley Additive Explanations (SHAP)NextA Transport Geometry of Benign Overfitting
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