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60 * ! Mon, 8/3/2020, 10:00 AM - 2:00 PM Virtual
Nonparametrics in High-Dimensional Data — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Yuanzhi Li, University of Michigan
Exponential Family Graphical Models with Correlated Replicates and Unmeasured Confounders
Yanxin Jin, University of Michigan, Ann Arbor; Kean Ming Tan, University of Michigan, Ann Arbor; Yang Ning, Cornell University
Low Rank Approximation for Smoothing Spline via Eigensystem Truncation
Danqing Xu, Columbia University; Yuedong Wang, UC Santa Barbara
Hypothesis Testing in High-Dimensional Partially Linear Single Index Models
Shijie Cui; Xu Guo, Beijing Normal University; Runze Li, Pennsylvania State University
Hypothesis Testing of a Constant Regression Function and Test-Based Screening
Won Chul Song
A Hybrid Omnibus Test in Generalized Semiparametric Single Index Models with High-Dimensional Covariate Sets
Inyoung Kim, Virginia Tech; Yangyi Xu, Virginia Tech; Raymond Carroll, Texas A&M
False Discovery Rate Control via Data Splitting
Chenguang Dai, Harvard University; Buyu Lin, University of Science and Technology of China; Xin Xing, Harvard University; Jun S. Liu, Harvard University