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CC = Colorado Convention Center   H = Hyatt Regency Denver at Colorado Convention Center
* = applied session       ! = JSM meeting theme

Activity Details

80 Sun, 7/28/2019, 4:00 PM - 5:50 PM CC-503
Graphical Models and Causal Inference — Contributed Papers
Section on Statistical Learning and Data Science
Chair(s): Sai Kumar Popuri, Demand Forecasting Group at Walmart Labs
4:05 PM Learning Latent Network Structure from High-Dimensional Multivariate Point Processes

Biao Cai, University of Miami; Emma Jingfei Zhang, University of Miami; Yongtao Guan, University of Miami
4:20 PM Causal Inference Under Network Interference with Noise
Wenrui Li, Boston University; Eric Kolaczyk, Boston University; Daniel L Sussman, Boston University
4:35 PM Gaussian DAGs on Network Data

Hangjian Li, UCLA; Qing Zhou, UCLA
4:50 PM Per-Family Error Rate Control for Gaussian Graphical Model via Knockoffs
Siliang Gong, University of Pennsylvania; Qi Long, University of Pennsylvania; Weijie Su, University of Pennsylvania
5:05 PM Using Cyclic Structure to Improve Inference on Networks

Behnaz Moradijamei, Kansas State University; Michael Higgins, Kansas State University
5:20 PM Estimation in Additive Exposure Models
Kelly Kung, Boston University; Daniel L Sussman, Boston University
5:35 PM Bayesian Framework for Predictive and Causal Modeling Using BART

Yizhen Xu, Brown University; Tao Liu, Brown University; Rami Kantor, Brown University; Ann Mwangi, Moi University; Michael Daniels, University of Florida; Joseph Hogan, Brown University