Key points are not available for this paper at this time.
Methods of generating prior distributions on spaces of probability measures for use in Bayesian nonparametric inference are reviewed with special emphasis on the Dirichlet processes, the tailfree processes, and processes neutral to the right. Some applications are given.
Thomas S. Ferguson (Mon,) studied this question.