
<WRAP centeralign>##Statistical Machine Learning Seminar##\\ Hosted by Department of Mathematical Sciences</WRAP>

~~META:title=October 27, 2015~~
  * Date: Tuesday, October 27, 2015
  * Time: 12:00-1:00
  * Room: WH-100E
  * Speaker: Lin Yao (Mathematical Sciences)
  * Title: On False Discovery Rate (II)

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<WRAP centeralign>**//Abstract//**</WRAP>
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.

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