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Building hyper Dirichlet processes for graphical models
Hyper Markov law stick-breakingmeasure non-parametric prior decomposable graphical distribution covariance selection
2009/9/16
Graphical models are used to describe the conditional independence relations in multivariate data. They have been used for a variety of problems, including log-linear models (Liu and Massam, 2006), ne...