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381 ! Wed, 8/10/2022, 8:30 AM - 10:20 AM CC-144B
Recent Advances in High-Dimensional Estimation and Inference Methods — Topic Contributed Papers
Section on Statistical Learning and Data Science, Biometrics Section, ENAR
Organizer(s): Emily Charlotte Hector, North Carolina State University; Lu Xia, University of Washington
Chair(s): Emily Charlotte Hector, North Carolina State University
8:35 AM High-Dimensional Change-Point Detection Using Generalized Homogeneity Metrics
Shubhadeep Chakraborty, University of Washington
8:55 AM Theoretical Foundations of T-SNE for Visualizing High-Dimensional Clustered Data
Rong Ma, Stanford University; Tony Cai, University of Pennsylvania
9:15 AM Two-Sample Hypothesis Testing for Multiple-Network Data
Yinqiu He, Columbia University
9:35 AM Statistical Inference for Correlated Data with High-Dimensional Covariates
Lu Xia, University of Washington; Ali Shojaie, University of Washington
9:55 AM Debiased Inference on Heterogeneous Quantile Treatment Effects with Regression Rank-Scores
Alexander Giessing, University of Washington; Jingshen Wang, UC Berkeley
10:15 AM Floor Discussion