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Sessions Were Renumbered as of May 19.

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

173 Mon, 8/1/2016, 10:30 AM - 12:20 PM CC-W193a
Methods for Massive Spatial Data — Contributed Papers
Section on Statistics and the Environment
Chair(s): James P. Howard, II, University of Maryland University College
10:35 AM Is Gun Violence Contagious? Descriptive Spatio-Temporal Testing and Modeling with Large-Scale Point Process Charles Loeffler, University of Pennsylvania ; Seth Flaxman, University of Oxford ; William Herlands, Carnegie Mellon University ; Hannes Nickisch, Philips Research Hamburg
10:50 AM Spatio-Temporal Error Characterization of Geophysical Variables Using Collocation Methods Seyed Hamed Alemohammad, MIT ; Kaighin A. McColl, MIT ; Alexandra G. Konings, Stanford University ; Dara Entekhabi, MIT
11:05 AM A Penalized Quasi-Likelihood Approach for Variable Selection in High-Dimensional Spatially Correlated Binary and Count Data Abdhi Sarkar, Michigan State University ; Chae Young Lim, Seoul National University ; Tapabrata Maiti, Michigan State University
11:20 AM Approximate Optimal Weighted Composite Likelihood Approach for Large Spatial Data Furong Li, Texas A&M University ; Huiyan Sang, Texas A&M University
11:35 AM Process-Based Hierarchical Models for Coupling High-Dimensional LiDAR and Forest Variables Over Large Geographic Domains — Andrew Finley, Michigan State University ; Sudipto Banerjee, University of California at Los Angeles ; Yuzhen Zhou, University of Nebraska - Lincoln ; Bruce Cook, NASA
11:50 AM Semiparametric Inference via Sparsity-Induced Kriging for Massive Spatial Data Sets Pulong Ma, University of Cincinnati ; Emily Lei Kang, University of Cincinnati
12:05 PM Global Nonstationary Spatial Covariance Through Deformations and Geographical Indicators Jaehong Jeong, King Abdullah University of Science and Technology ; Marc Genton, KAUST
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