JSM2024
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Topic-Contributed Paper Session

Innovative Modeling Approaches for Small Area Estimation in the Presence of Complex Dependence Structures

Sun, Aug 4, 4:00 PM - 5:50 PM
Scott HolanChairPaul ParkerOrganizer
Survey Research Methods Section

5 Presentations

A Socio-Demographic Latent Space Approach to Spatial Data When Geography is Important but not All-Important
4:05 PM - 4:25 PM
Saikat Nandy (St. Jude Children's Research Hospital)
Co-authors: Scott Holan (University of Missouri/U.S. Census Bureau), Michael Schweinberger (The Pennsylvania State University)
Bayesian Unit-level Modeling of Categorical Survey Data with a Longitudinal Design
4:25 PM - 4:45 PM
Daniel Vedensky (University of Missouri)
Co-authors: Scott Holan (University of Missouri/U.S. Census Bureau), Paul Parker (University of California Santa Cruz)
Estimation for Multi-type Survey Data
4:45 PM - 5:05 PM
Zewei Kong
Co-authors: Paul Parker (University of California Santa Cruz), Scott Holan (University of Missouri/U.S. Census Bureau)
Exploring patterns and determinants of the agro carbon footprint in the Po Valley (Italy) using spatio-temporal small area models
5:05 PM - 5:25 PM
Paolo Maranzano
Co-authors: Riccardo Borgoni (University of Milano-Bicocca), Felicetta Carillo, Riccardo Pajno
Spatially Selected and Dependent Random Effects for Small Area Estimation with Application to Rent Burden
5:25 PM - 5:45 PM
Sho Kawano
Co-authors: Paul Parker (University of California Santa Cruz), Zehang Li (UCSC)
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