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Activity Number: 151 - #LeadwithStatistics in the Social Sciences
Type: Topic Contributed
Date/Time: Monday, July 30, 2018 : 10:30 AM to 12:20 PM
Sponsor: Section on Bayesian Statistical Science
Abstract #328774 Presentation
Title: Model Selection, Contingency Tables and Human Mobility
Author(s): Adrian Dobra*
Companies: University of Washington
Keywords: contingency tables; model selection; human mobility; graphical models; Bayesian structural learning; birth-death processes

In this work we develop a new framework for selecting graphical loglinear models that is suitable for analyzing hyper-sparse contingency tables. We show how multi-way contingency tables can be used to represent patterns of human mobility. We analyze a dataset of geolocated tweets from South Africa that comprises 46 million latitude/longitude locations of 476,601 Twitter users that is summarized as a contingency table with 214 variables.

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

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