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* = applied session ! = JSM meeting theme
Activity Details
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50 * !
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Sun, 8/8/2021,
3:30 PM -
5:20 PM
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Virtual
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Advances in Spatial Statistics for Survey Methodology and Official Statistics — Topic-Contributed Papers
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Survey Research Methods Section, Government Statistics Section, Business and Economic Statistics Section
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Organizer(s): Scott Holan, University of Missouri
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Chair(s): Scott Holan, University of Missouri
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3:35 PM
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Bayesian Dasymetric Modeling
Matthew Simpson, SAS Institute; Scott Holan, University of Missouri; Christopher Wikle, University of Missouri
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3:55 PM
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Hierarchical Bayesian Mixed Effect Models for Spatially Correlated Areal Count-Valued Data When Covariates Are Measured with Error
Saikat Nandy, University of Missouri; Scott Holan, University of Missouri
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4:15 PM
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An Accurate Corset Methodology for Efficient Reduction of Spatial Data
Ranadeep Daw, University of Missouri; Christopher Wikle, University of Missouri
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4:35 PM
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A Spatial Change of Support Model for Differentially Private Measurements, with Application to Estimation of Counts of Persons in AIAN Areas by Detailed Race Groups
Ryan Janicki, US Census Bureau; Andrew Raim, U. S. Census Bureau; Kyle Irimata, U.S. Census Bureau; James A Livsey, U. S. Census Bureau; Scott Holan, University of Missouri
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4:55 PM
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A Bayesian Functional Data Model for Surveys Collected Under Informative Sampling with Application to Mortality Estimation Using NHANES
Paul Parker, University of Missouri; Scott Holan, University of Missouri
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5:15 PM
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Floor Discussion
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