Legend:
CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
Activity Details
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170
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Mon, 7/30/2018,
10:30 AM -
12:20 PM
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CC-West 116
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Theory and Methods for High-Dimensional Data — Contributed Papers
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IMS
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Chair(s): Max G'Sell, Carnegie Mellon University
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10:35 AM
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Modern Maximum Likelihood Theory for High-Dimensional Logistic Regression
Pragya Sur, Stanford University; Emmanuel Candes, Stanford University; Yuxin Chen, Princeton University
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10:50 AM
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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
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11:05 AM
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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
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11:20 AM
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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
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11:35 AM
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Improved Shrinkage Prediction Under a Spiked Covariance Structure
Trambak Banerjee; Gourab Mukherjee, University of Southern California; Debashis Paul, UC Davis
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11:50 AM
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A Concentration Inequality for Large Autocovariance Matrices
Yicheng Li, University of Washington; Fang Han, University of Washington
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12:05 PM
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Floor Discussion
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