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333 * ! Thu, 8/12/2021, 10:00 AM - 11:50 AM Virtual
Recent Developments in Network Inference Methods — Invited Papers
IMS, International Indian Statistical Association, Section on Statistical Learning and Data Science
Organizer(s): Dr. Shirshendu Chatterjee, City University of New York
Chair(s): Dr. Shirshendu Chatterjee, City University of New York
10:05 AM Bootstrap for Networks: From Parametric to Nonparametric Approaches
Liza Levina, University of Michigan
10:30 AM Identifying Heterogeneous Temporal Structure from Multiple Network Time Series
Carey E Priebe, Johns Hopkins University; Guodong Chen, Johns Hopkins University; Jonathan Larson, Microsoft Research; Weiwei Yang, Mocrosoft Research; Christopher White, Microsoft Research; Joshua Vogelstein, Johns Hopkins University; Youngser Park, Johns Hopkins University
10:55 AM Statistical Inference for Networks with Dependent Edges
Sharmodeep Bhattacharyya, Oregon State University; Dr. Shirshendu Chatterjee, City University of New York; Soumendu Sundar Mukherjee, Indian Statistical Institute
11:20 AM Hierarchical stochastic block model for multiplex networks
Arash A. Amini, UCLA
11:45 AM Floor Discussion