On a Gibbs characterization of normalized generalized Gamma processes
Annalisa Cerquetti

TL;DR
This paper offers an alternative derivation of a Gibbs characterization for normalized generalized Gamma processes using exponential tilting of Poisson-Kingman models, and explores conditions for exchangeable Gibbs partitions.
Contribution
It provides a new derivation method for the Gibbs characterization and investigates the existence of normalized random measures for specific Gibbs partitions.
Findings
Alternative derivation of Gibbs characterization using Poisson-Kingman models
Conditions for existence of normalized random measures for Gibbs partitions
Extension of previous results on exchangeable Gibbs partitions
Abstract
We show that a Gibbs characterization of normalized generalized Gamma processes, recently obtained in Lijoi, Pr\"unster and Walker (2007), can alternatively be derived by exploiting a characterization of exponentially tilted Poisson-Kingman models stated in Pitman (2003). We also provide a completion of this result investigating the existence of normalized random measures inducing exchangeable Gibbs partitions of type .
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
