Structured Bayesian learning through mixture models
<p>In this thesis, we develop some Bayesian mixture density estimation for univariate and multivariate data. We start proposing a repulsive process favoring mixture components further apart. While conducting inferences on the cluster-specific parameters, current frequentist and Bayesian method...
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2013
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| Online Access: | http://hdl.handle.net/10161/8065 |