Characterizing priors by posterior expectations in multiparameter exponential families (Q1092546)

Exploiting the notion of identifiability of mixtures of exponential families with respect to a vector parameter \(\theta\), it is shown that the posterior expectation of \(\theta\) characterizes the prior distribution of \(\theta\). The result is applied to normal and negative multinomial distributions.