Legend:
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