Nonparametric Bayesian Methods for Multiple Imputation of Large Scale Incomplete Categorical Data in Panel Studies

Nonparametric Bayesian Methods for Multiple Imputation of Large Scale Incomplete Categorical Data in Panel Studies

<p>The thesis develops nonparametric Bayesian models to handle incomplete categorical variables in data sets with high dimension using the framework of multiple imputation. It presents methods for ignorable missing data in cross-sectional studies, and potentially non-ignorable missing data in...

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Bibliographic Details
Main Author: Si, Yajuan
Other Authors: Reiter, Jerome P
Published: 2012
Subjects:
Statistics
Categorical
Large scale
Multiple imputation
Nonparametric Bayes
Panel
Refreshment sample
Online Access:http://hdl.handle.net/10161/5837

Internet

http://hdl.handle.net/10161/5837

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