On some distributional properties of Gibbs-type priors
Gibbs-type priors represent a natural (maybe the most natural?) generalization of the Dirichlet process and can be intuitively characterized in terms of their predictive structure. This talk will deal with some of their distributional properties and highlight the corresponding implications in terms of Bayesian nonparametric modeling.
