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Recently the class of normalized random measures with independent increments, which contains the Dirichlet process as a particular case, has been introduced. Here a new technique for deriving moments of these random probability measures is proposed. It is shown that, "a priori", most of the...
Persistent link: https://www.econbiz.de/10005285137
One of the main research areas in Bayesian Nonparametrics is the proposal and study of priors which generalize the Dirichlet process. In this paper, we provide a comprehensive Bayesian non-parametric analysis of random probabilities which are obtained by normalizing random measures with...
Persistent link: https://www.econbiz.de/10005285184
Persistent link: https://www.econbiz.de/10011035964