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Activity Details

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