Abstract Details
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Activity Number:
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39
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Type:
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Contributed
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Date/Time:
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Sunday, August 4, 2013 : 2:00 PM to 3:50 PM
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Sponsor:
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Social Statistics Section
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| Abstract - #310292 |
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Title:
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A New Approach to Modeling Roll Call Data
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Author(s):
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Abel Rodriguez and Kaushik Ghosh*+
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Companies:
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University of California, Santa Cruz and University of Nevada Las Vegas
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Keywords:
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Non-response ;
Nonparametric Bayes ;
Poisson Dirichlet process ;
Clustering
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Abstract:
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In this talk, we propose a nonparametric Bayesian approach for modeling roll call data. The resulting model can cluster bills into groups according to observed voting patterns, and aims to identify voting blocks of senators specific to each of these groups. The model is able to account for non-response through imputation. We illustrate our model using data from the 108th Senate.
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Authors who are presenting talks have a * after their name.
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