Nonparametric Bayes Models for High-Dimensional and Sparse Data
<p>Bayesian nonparametric methods are useful for modeling data without having to define the complexity of the entire model a priori, but rather allowing for this complexity determined by the data. We consider novel nonparametric Bayes models for high-dimensional and sparse data in this dissert...
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2010
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| Online Access: | http://hdl.handle.net/10161/3140 |