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