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© 2015 International Society for Bayesian Analysis. In this article we describe Bayesian nonparametric procedures for twosample hypothesis testing. Namely, given two sets of samples y (1) iid F (1) and y (2) iid F (2) , with F (1) , F (2) unknown, we wish to evaluate the evidence for the null hypothesis H 0 : F (1) = F (2) versus the alternative H 1 : F (1) ≠ F (2) . Our method is based upon a nonparametric Pólya tree prior centered either subjectively or using an empirical procedure. We show that the Pólya tree prior leads to an analytic expression for the marginal likelihood under the two hypotheses and hence an explicit measure of the probability of the null Pr(H 0 |{y (1) , y (2) }).

Original publication




Journal article


Bayesian Analysis

Publication Date





297 - 320