Filtered-Variate Prior Distributions for Histogram Smoothing.

Develops prior distributions for histogram inference favoring smooth population frequencies that is probability vectors with small differences for neighboring categories. Formalization of the concept of linearly filtering a random vector to obtain a `filtered variate' generalization; Development of the filtered-variate Dirichlet family of prior distribution.