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Sessions Were Renumbered as of May 19.

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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

Keyword Search Criteria: Spatial data returned 25 record(s)
Sunday, 07/31/2016
Addressing Spatial Interference in Causal Analysis
Keith William Zirkle, Virginia Commonwealth University; David C. Wheeler, Virginia Commonwealth University; Saba W. Masho, Virginia Commonwealth University
2:25 PM

Copula Random Field with Application to Longitudinal Neuroimaging Data Analysis
Peter X. K. Song, University of Michigan; Jian Kang, University of Michigan
4:30 PM

Monday, 08/01/2016
Spatial Confounding in Semiparametric Regression Models for Spatial Data
Guilherme Ludwig, University of Wisconsin - Madison; Jun Zhu, University of Wisconsin - Madison; Chun-Shu Chen, National Changhua University of Education


Mixtures of Regression Models for Large Spatial Data Sets
Amanda Hering, Colorado School of Mines; Karen Kazor, Colorado School of Mines; Laura Condon, Colorado School of Mines; Reed Maxwell, Colorado School of Mines
8:35 AM

Spatial Confounding in Semiparametric Regression Models for Spatial Data
Guilherme Ludwig, University of Wisconsin - Madison; Jun Zhu, University of Wisconsin - Madison; Chun-Shu Chen, National Changhua University of Education
8:50 AM

Creating Data Visualization Tools at Facebook
Andreas Gros, Facebook
8:55 AM

Approximate Optimal Weighted Composite Likelihood Approach for Large Spatial Data
Furong Li, Texas A&M University; Huiyan Sang, Texas A&M University
11:20 AM

Spatial Data Analysis: An Elective Course for Advanced Undergraduates
Laura Boehm Vock, Gustavus Adolphus College
11:35 AM

Semiparametric Inference via Sparsity-Induced Kriging for Massive Spatial Data Sets
Pulong Ma, University of Cincinnati; Emily Lei Kang, University of Cincinnati
11:50 AM

Spatial Data Fusion for Large Non-Gaussian Remote Sensing Data Sets
Hongxiang Shi, University of Cincinnati; Emily Lei Kang, University of Cincinnati
2:20 PM

Tuesday, 08/02/2016
A Changepoint Model for Housing Values
Xiaofei Susan Wang, Yale University; John Emerson, Yale University
8:35 AM

Functional Regression Models for Large Spatial Data with Endogeneity and Unstructured Dependence
Arnab Bhattacharjee, Heriot-Watt University; Tapabrata Maiti, Michigan State University
9:00 AM

Alternative Approach to Modeling Areal-Level Spatial Data Using Basis Functions
Ghadeer Mahdi, University of Arkansas; Avishek Chakraborty, University of Arkansas; Mark Arnold, University of Arkansas
10:50 AM

Statistical Downscaling for Large Spatial Data and Its Applications
Emily Lei Kang, University of Cincinnati; Pulong Ma, University of Cincinnati; Amy Braverman, Jet Propulsion Laboratory; Hai Nguyen, Jet Propulsion Laboratory; Noel Cressie, University of Wollongong
2:25 PM

Spatial Data Compression via Adaptive Dispersion Clustering
Yuliya Marchetti, Jet Propulsion Laboratory; Hai Nguyen, Jet Propulsion Laboratory; Amy Braverman, Jet Propulsion Laboratory
2:45 PM

Wednesday, 08/03/2016
Multi-Resolution Approaches for Big Spatial Data
Matthias Katzfuss, Texas A&M University
9:55 AM

Spatiotemporal Modeling with Applications to Stroke Mortality and Data Privacy
Harrison Quick, CDC
10:35 AM

Spatial Envelope
Hossein Rekabdarkolaee, Virginia Commonwealth University
11:05 AM

Particle Swarm Optimization--Assisted Metropolis Hastings Algorithms
Matthew Simpson, University of Missouri; Christopher Wikle, University of Missouri; Scott H. Holan, University of Missouri
11:15 AM

Factor Copula Models for Spatial Data
Pavel Krupskiy, King Abdullah University of Science and Technology; Marc Genton, KAUST; Raphaƫl Huser, KAUST
11:50 AM

A Flexible Spectral Approach to Nonparametric Estimation of Spatial Data
Sally Wood, University of Sydney; Aldo Saavedra, University of Sydney; Hugh Durrant-Whyte, University of Sydney; Ori Rosen, The University of Texas at El Paso
2:05 PM

Computational Considerations for Applying Nearest Neighbor Gaussian Processes to Large Spatial Data Sets: A Case Study from Forest Biomass Prediction Across Alaska
Sudipto Banerjee, University of California at Los Angeles; Abhirup Datta, University of Minnesota; Bruce Cook, NASA; Andrew Finley, Michigan State University
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
2:05 PM

Some Scalable Spatial Modeling Framework for Large Spatial Data
RAJARSHI GUHANIYOGI, University of California at Santa Cruz; Sudipto Banerjee, University of California at Los Angeles
2:30 PM

Thursday, 08/04/2016
Hierarchical Statistical Analysis of Binary Spatial Data Using Kernel Principal Component Analysis
Bohai Zhang, University of Wollongong; Noel Cressie, University of Wollongong
9:50 AM

 
 
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