  Dirichlet distribution and Dirichlet process as its infinite dimensional
generalization are primarily used conjugate prior of categorical and
multinomial distributions in Bayesian statistics. Extensions have been proposed
to broaden applications for different purposes. In this article, we explore a
class of prior distributions closely related to Dirichlet distribution
incorporating additional information on the data generating mechanism. Examples
are given to show potential use of the models.
