Events
CRiSM Seminar
Location: B1.01
Michael Newton (University of Wisconsin-Madison)
Ranking and selection revisited
In large-scale inference the precision with which individual parameters are estimated may vary greatly among parameters, thus complicating the task to rank order parameters. I present a framework for evaluating different ranking/selection schemes as well as an empirical Bayesian methodology showing theoretical and empirical advantages over available approaches. Examples from genomics and sports will help to illustrate the issues.