On the posterior structure of NRMI (Venue: GH seminar RM2)
Seminar Room 2, Newton Institute Gatehouse
will present results on the posterior structure of normalized random measures with independent increments (NRMI). Such results are essential both for the understanding and use of NRMI. Given these, their implementation in hierarchical mixture models is trivial. Moreover, one should keep in mind that the usefulness of discrete nonparametric priors is not limited to mixture models.
Joint work with Lancelot F. James (Hong Kong University of Science and Technology) and Antonio Lijoi (University of Pavia).