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On the support of maceacherns dependent dirichlet processes and extensions
(INTERNATIONAL SOCIETY FOR BAYESIAN ANALYSIS, 2012)
On the support of maceachern's dependent dirichlet processes and extensions
(INT SOC BAYESIAN ANALYSIS, 2012)
On the support of maceacherns dependent dirichlet processes and extensions
(INTERNATIONAL SOCIETY FOR BAYESIAN ANALYSIS, 2012)
On the support of maceachern's dependent dirichlet processes and extensions
(INT SOC BAYESIAN ANALYSIS, 2012)
Nonparametric bayesian modelling using skewed dirichlet processes
(ELSEVIER SCIENCE BV, 2009)
Theory and computations for the dirichlet process and related models: an overview
(2017)
Data analysis sometimes requires the relaxation of parametric assumptions in order to gain modeling flexibility and robustness against mis-specification of the probability model. In the Bayesian context, this is accomplished ...
Posterior convergence rate of a class of dirichlet process mixture model for compositional data
(2017)
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 ...