Online Program Home
My Program

Abstract Details

Activity Number: 524
Type: Topic Contributed
Date/Time: Wednesday, August 3, 2016 : 10:30 AM to 12:20 PM
Sponsor: Survey Research Methods Section
Abstract #320556 View Presentation
Title: A Multivariate Spatio-Temporal Model for U.S. Migration
Author(s): Trevor Oswald* and Christopher Wikle
Companies: University of Missouri and University of Missouri
Keywords: Bayesian ; Migration ; Demography
Abstract:

Human migration patterns present a rich set of modeling challenges, including very large data sets and many covariates that may directly or indirectly influence migration. With the advent of the American Community Survey, we are provided with finer spatial detail and shorter time intervals than were previously available in U.S. population migration data as well as social, economic, and geographical variables that may inform migration. Furthermore, migration can be stratified by gender, race, or socioeconomic status. We develop a flexible multivariate spatio-temporal model for migration that incorporates covariates and their uncertainty. The model is designed for multivariate human migration, but is capable of modeling ecological migration, as well as non-standard "migration" problems such as traffic flow, and trade flow.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2016 program

 
 
Copyright © American Statistical Association