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CC = Baltimore Convention Center,    H = Hilton Baltimore
* = applied session       ! = JSM meeting theme

Activity Details

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