On some Bayesian nonparametric estimators for species richness under two-parameter Poisson-Dirichlet priors
classification
🧮 math.PR
math.STstat.TH
keywords
bayesianconditionalnonparametricpriorsrichnessspeciestwo-parameterunder
read the original abstract
We present an alternative approach to the Bayesian nonparametric analysis of conditional species richness under two-parameter Poisson Dirichlet priors. We rely on a known characterization by deletion of classes property and on results for Beta-Binomial distributions. Besides leading to simplified and much more direct proofs, our proposal provides a new scale mixture representation of the conditional asymptotic law.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.