16 citations · 16 across the 4 of their papers we have counts for
4 papers
Improved null proportion estimators for multiple discrete tests with plug-in FDR control
Sebastian Döhler, Iqraa Meah
It is well known that the performance of the Benjamini and Hochberg (BH) procedure can be improved by incorporating estimators of the number or proportion of null hypotheses to yie…
False discovery proportion envelopes with m-consistency
Iqraa Meah, Gilles Blanchard, Etienne Roquain
We provide new non-asymptotic false discovery proportion (FDP) confidence envelopes in several multiple testing settings relevant for modern high dimensional-data methods. We revis…
Online multiple testing with super-uniformity reward
Sebastian Döhler, Iqraa Meah, Etienne Roquain
Valid online inference is an important problem in contemporary multiple testing research,to which various solutions have been proposed recently. It is well-known that these existin…
Differentially Private Federated Learning for Cancer Prediction
Constance Beguier, Jean Ogier du Terrail, Iqraa Meah +2
Since 2014, the NIH funded iDASH (integrating Data for Analysis, Anonymization, SHaring) National Center for Biomedical Computing has hosted yearly competitions on the topic of pri…