Online Program Home
  My Program

All Times EDT

Legend:
* = applied session       ! = JSM meeting theme

Activity Details

310 ! Wed, 8/5/2020, 10:00 AM - 11:50 AM Virtual
Modern Approaches to Small Area Estimation with Spatial Modeling and Machine Learning — Topic Contributed Papers
Survey Research Methods Section, Government Statistics Section, Section on Bayesian Statistical Science
Organizer(s): Scott H. Holan, University of Missouri
Chair(s): Scott H. Holan, University of Missouri
10:05 AM Bayesian Nonparametric Multivariate Spatial Mixture Mixed Effects Models with Application to American Community Survey Special Tabulations
Ryan Janicki, U.S. Census Bureau ; Andrew M. Raim, U.S. Census Bureau; Scott H. Holan, University of Missouri; Jerry Maples, U.S. Census Bureau
10:25 AM A Bivariate Dirichlet-Multinomial Small Area Share Model with Application to Joint Estimation of School District Population and Poverty
Jerry Maples, U.S. Census Bureau
10:45 AM Computationally Efficient Deep Bayesian Unit-Level Modeling of Survey Data Under Informative Sampling for Small Area Estimation
Paul A. Parker, University of Missouri; Scott H. Holan, University of Missouri
11:05 AM Interpolating Population Distributions using Public-use Data with Application to the American Community Survey
Matthew Simpson, SAS Institute; Scott H. Holan, University of Missouri; Christopher Wikle, University of Missouri; Jonathan Bradley, Florida State University
11:25 AM Bayesian Analysis of Areal Data with Unknown Adjacencies Using the Stochastic Edge Mixed Effects Model
Jonathan Bradley, Florida State University
11:45 AM Floor Discussion