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


  • 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

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

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