Convergence rates of posterior distribution for infinite-dimensional exponential families.

In this paper some prior distributions for densities in infinitedimensional exponential families, whose logarithm has a prescribed degree of smoothness, are designed so that the corresponding posteriors converge at the optimal rate. The derived Bayes' density estimator attains the minimax rate under the Hellinger loss.