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413 * ! Wed, 8/10/2022, 10:30 AM - 12:20 PM CC-143B
Recent Advances in Statistical Modeling and Machine Learning for Official Statistics and Survey Methodology — Topic Contributed Papers
Survey Research Methods Section, Government Statistics Section, Business and Economic Statistics Section
Organizer(s): Scott H. Holan, University of Missouri/U.S. Census Bureau
Chair(s): Scott H. Holan, University of Missouri/U.S. Census Bureau
10:35 AM Comparison of Poisson-Gamma and Laplace Mechanisms for Differential Privacy
Harrison Quick, Drexel University
10:55 AM Computationally Efficient Bayesian Heteroskedastic Modeling for Small Area Estimation
Paul A. Parker, University of California Santa Cruz; Scott H. Holan, University of Missouri/U.S. Census Bureau
11:15 AM Design Consistent Bayesian Tree Models
Scott H. Holan, University of Missouri/U.S. Census Bureau; Diya Bhaduri, University of Missouri; Daniell Toth, U.S. Bureau of Labor Statistics
11:35 AM Hierarchical Bayesian Mixed Effect Models for Spatially Correlated Areal Multi-Distributional Survey Data When Covariates Are Measured with Error and Are Spatially Correlated
Saikat Nandy, University of Missouri; Scott H. Holan, University of Missouri/U.S. Census Bureau; Jonathan R Bradley, Florida State University; Christopher K. Wikle, University of Missouri
11:55 AM Floor Discussion