Posterior convergence rate of a class of Dirichlet process mixture model for compositional data

We propose a Dirichlet process mixture of mixtures of Dirichlet models for density estimation. By assuming random sampling from a density belonging to a Holder class, we show that the posterior distribution of the model is rate-optimal.