Conditional $\alpha$-diversity for exchangeable Gibbs partitions driven by the stable subordinator
Annalisa Cerquetti

TL;DR
This paper generalizes the asymptotic behavior of conditional alpha-diversity from specific models to a broader class of mixed Poisson-Kingman species sampling models driven by the stable subordinator, with implications for Bayesian species richness estimation.
Contribution
It extends previous results on alpha-diversity asymptotics to a larger class of models driven by the stable subordinator, broadening their applicability.
Findings
Generalized asymptotic results for conditional alpha-diversity.
Applied to mixed Poisson-Kingman models driven by the stable subordinator.
Enhanced understanding of species richness estimation in Bayesian frameworks.
Abstract
Asymptotic behaviour of conditional diversity for the two-parameter Poisson-Dirichlet partition model and for the normalized generalized Gamma model has been recently investigated in Favaro et al. (2009, 2011) with a view to possible applications in Bayesian treatment of species richness estimation. Here we generalize those results to the larger class of mixed Poisson-Kingman species sampling models driven by the stable subordinator (Pitman, 2003).
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.
Taxonomy
TopicsBayesian Methods and Mixture Models · Census and Population Estimation · Statistical Methods and Bayesian Inference
