Legend:
CC = Baltimore Convention Center,
H = Hilton Baltimore
* = applied session ! = JSM meeting theme
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280 * !
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Tue, 8/1/2017,
8:30 AM -
10:20 AM
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CC-341
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Climate Statistics: Studies on the Physics and Impacts of Climate Change Using Data Science — Topic Contributed Papers
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Section on Physical and Engineering Sciences , Section on Statistics and the Environment , International Statistical Institute
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Organizer(s): Ansu Chatterjee, University of Minnesota
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Chair(s): Megan Heyman, Rose-Hulman Institute of Technology
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8:35 AM
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Predicting the Next Decade
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Timothy DelSole
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8:55 AM
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Uncertainty Quantification for Remote Sensing Data
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Amy Braverman, Jet Propulsion Laboratory ; Jonathan Hobbs, Jet Propulsion Laboratory
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9:15 AM
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The Scale Enhanced Wild Bootstrap Method for Evaluating Climate Models Using Wavelets
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Ansu Chatterjee, University of Minnesota ; Amy Braverman, Jet Propulsion Laboratory ; Megan Heyman, Rose-Hulman Institute of Technology ; Noel Cressie, University of Wollongong
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9:35 AM
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Modeling Weather-Induced Home Insurance Risks with Support Vector Machine Regression
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Vyacheslav Lyubchich, University of Maryland Center for Environmental Science ; Yulia R. Gel, University of Texas at Dallas ; Asim Kumer Dey, University of Texas at Dallas
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9:55 AM
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Uncertainty Quantification for High-Resolution Hydrology Applications in the Western United States
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Jonathan Hobbs, Jet Propulsion Laboratory ; Michael Turmon, Jet Propulsion Lab/Caltech ; J T Reager, Jet Propulsion Lab/Caltech ; Cedric David, Jet Propulsion Lab/Caltech ; James Famiglietti, Jet Propulsion Lab/Caltech
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10:15 AM
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Floor Discussion
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