##Statistical Machine Learning Seminar##
Hosted by Department of Mathematical Sciences
Date: Tuesday, October 27, 2015
Time: 12:00-1:00
Room: WH-100E
Speaker: Lin Yao (Mathematical Sciences)
Title: On False Discovery Rate (II)
Abstract
This is the second of three talks on false discovery rate on the topic of multiple testing. We will discuss the following two papers.
Storey, J.D., Taylor, J.E. and Siegmund, D. (2004). Strong Control, Conservative Point Estimation and Simultaneous Conservative Consistency of False Discovery Rates: A Unified Approach. Journal of the Royal Statistical Society, Series B, 66, 187-205.
Fan, J., Han, X., & Gu, W. (2012). Estimating false discovery proportion under arbitrary covariance dependence. Journal of the American Statistical Association, 107(499), 1019-1035.