Articulo
Posterior convergence rate of a class of dirichlet process mixture model for compositional data
Statistics and Probability Letters
Registro en:
1141193
1141193
Autor
Barrientos, Andrés F
Jara-Vallejos, Alejandro Antonio
Wehrhahn, Claudia
Institución
Resumen
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. (C) 2016 Elsevier Regular FONDECYT FONDECYT