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Activity Details

357 Wed, 8/5/2020, 10:00 AM - 2:00 PM Virtual
Contemporary Multivariate Methods — Contributed Papers
Section on Statistical Learning and Data Science
Chair(s): Alex Zolotovitski, T-Mobile
Uplift Modeling for Panel Data Using Switch Doubly Robust Method
Hiroaki Naito, Doshisha University; Hisayuki Hara, Doshisha University
Stepsize Selection in Langevin Monte Carlo via Coupling
Matteo Sordello, University of Pennsylvania; Weijie Su, University of Pennsylvania; James Johndrow, University of Pennsylvania
Model Selection Criteria for Biological Networks by Using Loop-Based Multivariate Regression Adaptive Splines Model
Gul Bulbul, Bowling Green State Univ; Vilda Bahar Purutçuo?lu, Middle East Technical University
Generalized Linear Models with Partially Mismatched Data
Zhenbang Wang, George Mason University; Emanuel Ben-David, US Census Bureau; Martin Slawski, George Mason Univ
Numerical Tolerance for Spectral Decompositions of Random Matrices
Zachary Lubberts, Johns Hopkins University; Avanti Athreya, Johns Hopkins University; Vince Lyzinski, University of Maryland College Park; Minh Tang, NC State University; Carey Priebe, Johns Hopkins University; Michael J Kane, Yale University School of Public Health; Youngser Park, Johns Hopkins University; Bryan Lewis, Independent Researcher
Inference in Higher Order Spin Systems
Somabha Mukherjee, University of Pennsylvania; Jaesung Son, University of Pennsylvania; Bhaswar Bhattarcharya, University of Pennsylvania