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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

Keyword Search Criteria: Data fusion returned 9 record(s)
Monday, 08/01/2016
Where Do Marine Mammals Go? Bayesian Data Fusion Provides the Answer
Yang Seagle Liu, University of British Columbia; James V. Zidek, University of British Columbia; Brian C. Battaile, University of British Columbia; Andrew W. Trites, University of British Columbia


Bayesian Spatio-Temporal Modeling of Multi-Pathogen Infectious Diseases Using Data from Multiple Sources
Hunter Merrill, University of Florida; Xueying Tang, University of Florida; Yang Yang, University of Florida; Nikolay Bliznyuk, University of Florida
8:35 AM

Data Fusion for Predicting Long-Term Program Impacts
Michael Robbins, RAND Corporation
8:55 AM

Where Do Marine Mammals Go? Bayesian Data Fusion Provides the Answer
Yang Seagle Liu, University of British Columbia; James V. Zidek, University of British Columbia; Brian C. Battaile, University of British Columbia; Andrew W. Trites, University of British Columbia
9:30 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 Bayesian Hierarchical Data Fusion Approach Leveraging Lidar and Hyperspectral Remote Sensing Information to Improve Aboveground Forest Carbon Estimation for Interior Alaska, USA
Chad Babcock, University of Washington


Wednesday, 08/03/2016
Modeling Similar Nonmatches in Record Linkage with Mixture Models
Michael Larsen, The George Washington University
11:05 AM

Thursday, 08/04/2016
Modeling Environmental Impacts on Bronchiolitis in the Presence of Spatial Uncertainty
Candace Berrett, Brigham Young University; Matthew J. Heaton, Brigham Young University; Chantel Sloan, Brigham Young University
9:00 AM

Data Fusion for Accurate State-Level Diabetes and Prediabetes Prevalence Estimation
David A. Marker, Westat; Jianzhu Li, Westat; Russ Mardon, Westat; Luke B. Smith, Westat; Deborah Rolka, CDC; Sharon H. Saydah, CDC; Frank Jenkins, Westat; Elizabeth Petraglia, Westat
10:50 AM

 
 
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