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Semiparametric Latent Variable Models for Guided Representation
Variable Models Semiparametric Latent Guided
2011/3/18
Unsupervised discovery of latent representations, in addition to being useful for density modeling, visualisation and exploratory data analysis, is also increasingly important for learning features re...
Bayesian auxiliary variable models for binary and multinomial regression
Auxiliary variables Bayesianb inary and multinomial regression Model averaging Scale mixture of normals
2009/9/21
In this paper we discuss auxiliary variable approaches to Bayesia
binary and multinomial regression. These approaches are ideally suited to au
tomated Markov chain Monte Carlo simulation. In the rst...