Mathematics – Statistics Theory
Scientific paper
2007-08-14
Annals of Statistics 2007, Vol. 35, No. 2, 738-746
Mathematics
Statistics Theory
Published at http://dx.doi.org/10.1214/009053606000001361 in the Annals of Statistics (http://www.imstat.org/aos/) by the Inst
Scientific paper
10.1214/009053606000001361
This paper introduces a new approach to the study of rates of convergence for
posterior distributions. It is a natural extension of a recent approach to the
study of Bayesian consistency. In particular, we improve on current rates of
convergence for models including the mixture of Dirichlet process model and the
random Bernstein polynomial model.
Lijoi Antonio
Prunster Igor
Walker Stephen G.
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