Neyman Seminar

Neyman Seminar

Neyman Seminar
Sep 12, 2012, 04:00 PM - 05:00 PM | 1011 Evans Hall | Happening As Scheduled
Pierre Neuvial, Laboratoire Statistique et Génome, USC INRA (Speaker)
The False Discovery Rate (FDR) is a popular measure of type I error in multiple testing problems. It is defined as the expectation of the False Discovery Proportion (FDP), where the FDP is the (random) fraction of false positives among rejected hypotheses. FDR is commonly used in genomics, astronomy, or medicine, and a number of FDR controlling procedures have been proposed in the past...