Dirichlet Process Mixture Models for Nested Categorical Data
<p>This thesis develops Bayesian latent class models for nested categorical data, e.g., people nested in households. The applications focus on generating synthetic microdata for public release and imputing missing data for household surveys, such as the 2010 U.S. Decennial Census.</p><...
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2015
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| Online Access: | http://hdl.handle.net/10161/9933 |