  A new method for the computation of the posterior distribution of the number
k of components in a finite mixture is presented. Two aspects of prior
specification are also studied: an argument is made for the use of a Poisson(1)
distribution as the prior for k; and methods are given for the selection of
hyperparameter values in the mixture of normals model, with natural conjugate
priors on the components parameters.
