3 papers
stat.ME2026
Bringing Closure to False Discovery Rate Control: A General Principle for Multiple Testing
Ziyu Xu, Aldo Solari, Lasse Fischer +3
We present a novel necessary and sufficient principle for multiple testing methods controlling an expected loss. This principle asserts that every such multiple testing method is a…
math.ST2025
The e-Partitioning Principle of False Discovery Rate Control
Jelle Goeman, Rianne de Heide, Aldo Solari
We present a novel necessary and sufficient principle for False Discovery Rate (FDR) control. This e-Partitioning Principle says that a procedure controls FDR if and only if it is…
stat.ME2025
Powerful batch conformal prediction for classification
Ulysse Gazin, Ruth Heller, Etienne Roquain +1
In a split conformal framework with classes, a calibration sample of labeled examples is observed for inference on the label of a new unlabeled example. We explore the sett…