Legend:
CC = Baltimore Convention Center,
H = Hilton Baltimore
* = applied session ! = JSM meeting theme
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22 * !
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Sun, 7/30/2017,
2:00 PM -
3:50 PM
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CC-337
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Statistical Methods for Heterogeneous and Massive Remote Sensing Data — Topic Contributed Papers
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Section on Statistics and the Environment
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Organizer(s): Jonathan Hobbs, Jet Propulsion Laboratory
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Chair(s): Adam Pintar, National Institute of Standards and Technology
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2:05 PM
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Towards Accounting for Model Error in CO2 Retrievals from the OCO-2 Satellite
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Jenny Brynjarsdottir, Case Western Reserve University ; Jonathan Hobbs, Jet Propulsion Laboratory ; Amy Braverman, Jet Propulsion Laboratory
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2:25 PM
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Inference for Errors-In-Variables Models in the Presence of Spatial and Temporal Dependence with an Application to a Carbon Dioxide Remote Sensing Campaign
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Bohai Zhang, University of Wollongong ; Noel Cressie, University of Wollongong ; Debra Wunch, University of Toronto
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2:45 PM
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Functional Regression for Combining Remote Sensing and In-Situ Data
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Meredith Franklin
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3:05 PM
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Fusing Data from Multiple Remote Sensing Instruments
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Jessica Loock Matthews, CICS-NC ; Elizabeth Mannshardt, US Environmental Protection Agency ; Brian Reich, NCSU ; Joseph Guinness, NC State University
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3:25 PM
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Evaluation of Climate Models Using the Wild Scale-Enhanced Bootstrap
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Megan Heyman, Rose-Hulman Institute of Technology ; Ansu Chatterjee, University of Minnesota ; Amy Braverman, Jet Propulsion Laboratory
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3:45 PM
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Floor Discussion
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