A0241
Title: A unified class of null proportion estimators with plug-in FDRcontrol
Authors: Sebastian Doehler - Darmstadt University of Applied Science (Germany) [presenting]
Abstract: The Benjamini-Hochberg (BH) procedure is a staple of modern high-dimensional data analysis. This method can be made more powerful by incorporating estimators of the proportion of null hypotheses, yielding an adaptive BH procedure which still controls the false discovery rate (FDR). We present a unified class of estimators, which comes with mathematical guarantees, encompasses existing and new estimators and can also be adapted to discrete tests. While our focus is on presenting the generality and flexibility of this new class, we also include someanalyses on simulated and real data.
