the Department of Statistics, Computer Science, Application of University of Florence is glad to invite you to the following seminar:

Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti”, room 205 

Viale Morgagni, 59, Firenze

Hierarchical normalized finite point process: predictive structure and clustering

Abstract
Almost surely discrete random  probability measures have received close attention in the Bayesian nonparametric community.
They have been used to model  populations of individuals or latent parameters  (in the mixture model setting) composed 
of unfixed species with unknown proportions. In this framework, data are usually assumed to be exchangeable. However, the latter assumption is not appropriate when data are divided in multiple groups which may share the same species. If so, partially exchangeability accommodates the dependence across populations.

Best regards,

Monia Lupparelli