Posterior concentration rates for infinite dimensional exponential families

Abstract

In this paper we derive adaptive non-parametric rates of concentration of the posterior distributions for the density model on the class of Sobolev and Besov spaces. For this purpose, we build prior models based on wavelet or Fourier expansions of the logarithm of the density. The prior models are not necessarily Gaussian. © 2012 International Society for Bayesian Analysis.