Bayesian Nonparametrics: Hierarchical Bayesian nonparametric models with applications

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Learning with Hierarchical-Deep Models (2013, methodology): “Given the category assignment vector z and the states of the top-level DBM features hð3Þ, we use the posterior representation sampler of [37].”