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Sessions Were Renumbered as of May 19.

Legend:
CC-W = McCormick Place Convention Center, West Building,   CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago,   UC= Conference Chicago at University Center
* = applied session       ! = JSM meeting theme

Activity Details

609 Wed, 8/3/2016, 2:00 PM - 3:50 PM CC-W181b
Spatio-Temporal Models, Prediction, and Anomaly Detection — Contributed Papers
Section on Statistical Learning and Data Science , Royal Statistical Society
Chair(s): Sarah Kalicin, Intel Corporation
2:05 PM Point Process Modeling with Spatiotemporal Covariates for Predicting Crime — Alex Reinhart, Carnegie Mellon University ; Xizhen Cai, Carnegie Mellon University ; Joel Greenhouse, Carnegie Mellon University
2:20 PM Identification of Homogeneous Areas Through Lattice-Based Spatio-Temporal Clustering — Rodrigue Ngueyep Tzoumpe, IBM Research ; Huijing Jiang, IBM ; YoungDeok Hwang, IBM T. J. Watson Research Center
2:35 PM Generalized Difference in Difference Models with Gaussian Processes — William Herlands, Carnegie Mellon University ; Daniel B. Neill, Carnegie Mellon University ; Akshaya Jha, Carnegie Mellon University ; Seth Flaxman, University of Oxford ; Kun Zhang, Carnegie Mellon University
2:50 PM Identifying Typical Patterns and Atypical Behavior in Copious Amounts of Streaming Data — Brett Amidan, Pacific Northwest National Laboratory ; James Follum, Pacific Northwest National Laboratory
3:05 PM Archetypal Analysis: Three Case Studies — Anna Quach ; Adele Cutler, Utah State University
3:20 PM Vertex Nomination via Seeded Graph Matching — Heather Patsolic, The Johns Hopkins University ; Vince Lyzinski, The Johns Hopkins University ; Carey Priebe, The Johns Hopkins University
3:35 PM Efficient Discovery of Heterogeneous Treatment Effects in Randomized Experiments via Anomalous Pattern Detection — Edward McFowland, Carlson School of Management ; Sriram Somanchi, University of Notre Dame ; Daniel B. Neill, Carnegie Mellon University
 
 
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