We consider the asymptotic behavior of posterior distributions and Bayes es
timators for infinite-dimensional statistical models. We give general resul
ts on the rate of convergence of the posterior measure. These are applied t
o several examples, including priors on finite sieves, log-spline models, D
irichlet processes and interval censoring.