Modeling latent information in voting data with Dirichlet process priors
We apply a specialized Bayesian method that helps us deal with the methodological challenge of unobserved heterogeneity among immigrant voters. Our approach is based on generalized linear mixed Dirichlet models (GLMDMs) where random effects are specified semiparametrically using a Dirichlet process...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Oxford University Press
2014
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