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Activity Details


585 Wed, 8/7/2013, 2:00 PM - 3:50 PM CC-521ab
Advances in Statistical Learning Methods for High-Dimensional Inference — Topic Contributed Papers
Section on Statistical Learning and Data Mining , Biometrics Section
Organizer(s): Z. John Daye, University of Arizona
Chair(s): Z. John Daye, University of Arizona
2:05 PM Two-Sample Test of High-Dimensional Means Under Dependency Yin Xia, UNC Chapel Hill ; Tony Cai, University of Pennsylvania ; Weidong Liu, Shanghai Jiao Tong University
2:25 PM Identification of Signal, Noise, and Indistinguishable Subsets in High-Dimensional Data Analysis X. Jessie Jeng, North Carolina State University
2:45 PM Censored Rank Independence Screening for High-Dimensional Survival Data Wenbin Lu, Department of Statistics, North Carolina State University ; Rui Song, North Carolina State University ; Shuangge Ma, Yale University
3:05 PM The Control of the False Discovery Rate in Fixed Sequence Multiple Testing Wenge Guo, New Jersey Institute of Technology ; Gavin Lynch, New Jersey Institute of Technology ; Sanat K. Sarkar, Temple University
3:25 PM Simultaneous and Sequential Inference of Pattern Recognition Wenguang Sun, University of Southern California
3:45 PM Floor Discussion



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