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Activity Details
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201
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Tue, 8/4/2020,
10:00 AM -
2:00 PM
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Virtual
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Big Data and Statistical Learning — Contributed Papers
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Section on Statistical Computing
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Chair(s): Wenshuo Wang, Harvard University
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Statistical Inference of Massive Linear Mixed Models with Bag of Little Bootstraps (BLB)
Xinkai Zhou, UCLA; Hua Zhou, University of California, Los Angeles
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Improved Two-Stage Model-Averaging for High-Dimensional Linear Regression
Juming Pan, Rowan University
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Optimal Perturbation Bounds for Orthogonally Decomposable Tensors and Its Statistical Applications
Arnab Auddy, Columbia University; Ming Yuan, Columbia University
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Backfitting for Large Scale Crossed Random Effects Regressions
Swarnadip Ghosh, Stanford University; Art Owen, Stanford University; Trevor Hastie, Stanford University, Department of Statistics
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