Subjective priors for the dirichlet process
Tim B. Swartz · Communication in Statistics- Theory and Methods · 1993
This paper reviews difficulties with the interpretation and use of the prior parameter u required in the Dirichlet approach to nonpararnetric Bayesian statistics. Two subjective prior distributions are introduced and studied. These priors are obtained computationally by requiring that the experimenter specify certain constraints.