JSM2024
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Scott Holan

University of Missouri/U.S. Census Bureau
9 appearances in the program

Sessions & presentations

Bayesian Dependent Data Models and Machine Learning for Official Statistics and Survey Methodology
Presentation: Bayesian Hierarchical Models For Multi-type Survey Data Using Spatially Correlated Covariates Measured With Error
Invited Paper Session · Sun, Aug 4 , 2:00 PM
Speaker
Innovative Modeling Approaches for Small Area Estimation in the Presence of Complex Dependence Structures
Presentation: A Socio-Demographic Latent Space Approach to Spatial Data When Geography is Important but not All-Important
Topic-Contributed Paper Session · Sun, Aug 4 , 4:00 PM
Co-Author
Innovative Modeling Approaches for Small Area Estimation in the Presence of Complex Dependence Structures
Presentation: Bayesian Unit-level Modeling of Categorical Survey Data with a Longitudinal Design
Topic-Contributed Paper Session · Sun, Aug 4 , 4:00 PM
Co-Author
Innovative Modeling Approaches for Small Area Estimation in the Presence of Complex Dependence Structures
Presentation: Estimation for Multi-type Survey Data
Topic-Contributed Paper Session · Sun, Aug 4 , 4:00 PM
Co-Author
Navigating Complexity: Recent Advances in Analysis of Data from Complex Surveys
Topic-Contributed Paper Session · Mon, Aug 5 , 10:30 AM
Organizer
Navigating Complexity: Recent Advances in Analysis of Data from Complex Surveys
Presentation: Bayesian Classification Trees for Binary Survey Data under Informative Samples
Topic-Contributed Paper Session · Mon, Aug 5 , 10:30 AM
Co-Author
Navigating Complexity: Recent Advances in Analysis of Data from Complex Surveys
Presentation: Latent Dirichlet Allocation for Complex Surveys Under Informative Sampling
Topic-Contributed Paper Session · Mon, Aug 5 , 10:30 AM
Co-Author