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CC = Vancouver Convention Centre   F = Fairmont Waterfront Vancouver
* = applied session       ! = JSM meeting theme

Activity Details

170 Mon, 7/30/2018, 10:30 AM - 12:20 PM CC-West 116
Theory and Methods for High-Dimensional Data — Contributed Papers
Chair(s): Max G'Sell, Carnegie Mellon University
10:35 AM Modern Maximum Likelihood Theory for High-Dimensional Logistic Regression

Pragya Sur, Stanford University; Emmanuel Candes, Stanford University; Yuxin Chen, Princeton University
10:50 AM Bootstrapping Maxima of High-Dimensional Random Vectors with Variance Decay

Miles Lopes, University of California, Davis; Hans Mueller, UC Davis; Zhenhua Lin, University of Toronto
11:05 AM Supervised Clustering via an Implicit Network for High-Dimensional Data

Brandon Park; Anand N Vidyashankar, George Mason University; Tucker S McElroy, U.S. Census Bureau
11:20 AM Asymptotic Independent U-Statistics in High-Dimensional Adaptive Testing

Yinqiu He, University of Michigan; Gongjun Xu, University of Michigan; Chong Wu, University of Minnesota; Wei Pan, University of Minnesota
11:35 AM Improved Shrinkage Prediction Under a Spiked Covariance Structure

Trambak Banerjee; Gourab Mukherjee, University of Southern California; Debashis Paul, UC Davis
11:50 AM A Concentration Inequality for Large Autocovariance Matrices

Yicheng Li, University of Washington; Fang Han, University of Washington
12:05 PM Floor Discussion