Statistics seminar 2016: "Are Gibbs-type priors the most natural generalization of the Dirichlet process?"

Seminario

  • Data: 14 gennaio 2016 dalle 11:30 alle 13:00

  • Luogo: Dipartimento di Scienze Statistiche "P. Fortunati" - Via Belle Arti 41 - Aula III

Igor Pruenster
University of Torino & Collegio Carlo Alberto

Abstract
Discrete random probability measures and the exchangeable random partitions they induce are key tools for addressing a variety of estimation and prediction problems in Bayesian inference. In this talk we focus on the family of Gibbs-type priors, a recent elegant and intuitive generalization of the Dirichlet and the Pitman-Yor process priors.
We highlight their implications for Bayesian nonparametric inference and provide evidence that they indeed represent the most natural generalization of the Dirichlet process.

Contact person
Alessandra Luati

Torna su