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...