  Analogues of the frequentist chi-square and F tests are proposed for testing
goodness-of-fit and consistency for Bayesian models. Simple examples exhibit
these tests' detection of inconsistency between consecutive experiments with
identical parameters, when the first experiment provides the prior for the
second. In a related analysis, a quantitative measure is derived for judging
the degree of tension between two different experiments with partially
overlapping parameter vectors.
