Nested Hierarchical Dirichlet Processes for Multi-Level Non-Parametric Admixture Modeling

26 Aug 2015Lavanya Sita TekumallaPriyanka AgrawalIndrajit Bhattacharya

Dirichlet Process(DP) is a Bayesian non-parametric prior for infinite mixture modeling, where the number of mixture components grows with the number of data items. The Hierarchical Dirichlet Process (HDP), is an extension of DP for grouped data, often used for non-parametric topic modeling, where each group is a mixture over shared mixture densities... (read more)

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