JSM2026
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Scott Holan

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

Sessions & presentations

Recent Advances in Statistical and Machine Learning Models for Dependent Data from Complex Survey and Decennial Census Data
Presentation: Small area estimation of wealth quantiles over time, a Bayesian unit-level modeling approach
Topic-Contributed Paper Session · Mon, Aug 3 , 10:30 AM
Co-Author
Recent Advances in Statistical and Machine Learning Models for Dependent Data from Complex Survey and Decennial Census Data
Presentation: Small Area Estimation via Topic Modeling for Free-Response Text Data
Topic-Contributed Paper Session · Mon, Aug 3 , 10:30 AM
Co-Author
SPAAC Poster Competition — Topic Contributed Poster Presentations
Presentation: 56: Computationally Efficient Conjugate Bayesian SAE Models with Benchmarking and Inequality Constraints
Contributed Posters · Mon, Aug 3 , 2:00 PM
Co-Author
Modeling and Imputation Strategies for Complex Survey and Administrative Data
Presentation: Imputing responses for a matrix sample of manufacturing establishments using a Bayesian mixed model
Contributed Papers · Wed, Aug 5 , 8:30 AM
Co-Author
Spatial Models and Machine Learning Methods for Socio-Demographic and Synthetic Data Applications
Topic-Contributed Paper Session · Sun, Aug 2 , 4:00 PM
Organizer
Spatial Models and Machine Learning Methods for Socio-Demographic and Synthetic Data Applications
Presentation: Beyond Point Estimates: Variational Bayesian Diffusion Models for Mixed-Type Tabular Data
Topic-Contributed Paper Session · Sun, Aug 2 , 4:00 PM
Co-Author
Advances in AI and Machine Learning for Official Statistics and Survey Methodology
Invited Paper Session · Mon, Aug 3 , 8:30 AM
Organizer
IOL: Statistical and Machine Learning Approaches to Modeling Dependent Data for Official Statistics
Introductory Overview Lectures · Wed, Aug 5 , 8:30 AM
Organizer
IOL: Statistical and Machine Learning Approaches to Modeling Dependent Data for Official Statistics
Presentation: Statistical and Machine Learning Approaches to Modeling Dependent Data for Official Statistics
Introductory Overview Lectures · Wed, Aug 5 , 8:30 AM
Speaker