A generalization of the Benjamini-Hochberg procedure controls the FDR curve below any specified level in location families, and the standard procedure simultaneously controls the entire curve for free.
Journal of the American Statistical Association , volume=
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
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stat.ME 4years
2026 4verdicts
UNVERDICTED 4representative citing papers
PRx combines kernel weight localization with predictive recursion for fast semiparametric density regression, yielding consistent estimators for unmixed parameters and competitive performance at low computational cost.
PRADAS derives a Bayes-optimal mirror statistic for any splitting scheme, establishes asymptotic FDR control under weak dependence, and optimizes the split ratio as a stopping time to improve power over standard equal-split methods.
Domino guarantees k-bFDR control under arbitrary dependence via the closure principle, extending boundary FDR methods to general settings for both p-values and e-values.
citing papers explorer
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Simultaneous false discovery rate control in location families
A generalization of the Benjamini-Hochberg procedure controls the FDR curve below any specified level in location families, and the standard procedure simultaneously controls the entire curve for free.
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Fast Semiparametric Density Regression with Weight-localized Predictive Recursion
PRx combines kernel weight localization with predictive recursion for fast semiparametric density regression, yielding consistent estimators for unmixed parameters and competitive performance at low computational cost.
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PRADAS: PRior-Assisted DAta Splitting for False Discovery Rate Control
PRADAS derives a Bayes-optimal mirror statistic for any splitting scheme, establishes asymptotic FDR control under weak dependence, and optimizes the split ratio as a stopping time to improve power over standard equal-split methods.
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Generalized Boundary FDR Control under Arbitrary Dependence: An Approach on Closure Principle
Domino guarantees k-bFDR control under arbitrary dependence via the closure principle, extending boundary FDR methods to general settings for both p-values and e-values.