This paper considers species sampling models using constructions that arise from Bayesian nonparametric prior distributions. A discrete random measure, used to generate a species sampling model, can have either a countable infinite number of atoms, which has been the emphasis in the recent literature, or a finite number of atoms K, while allowing K to be assigned a prior probability distribution on the positive integers. It is the latter class of model we consider here, due to the interpretation of K as the number of species. We demonstrate the consistency of the posterior distribution of K as the sample size increases

Bissiri, P., Ongaro, A., Walker, S. (2013). Species sampling models: consistency for the number of species. BIOMETRIKA, 100(3), 771-777 [10.1093/biomet/ast006].

Species sampling models: consistency for the number of species

BISSIRI, PIER GIOVANNI;ONGARO, ANDREA;
2013

Abstract

This paper considers species sampling models using constructions that arise from Bayesian nonparametric prior distributions. A discrete random measure, used to generate a species sampling model, can have either a countable infinite number of atoms, which has been the emphasis in the recent literature, or a finite number of atoms K, while allowing K to be assigned a prior probability distribution on the positive integers. It is the latter class of model we consider here, due to the interpretation of K as the number of species. We demonstrate the consistency of the posterior distribution of K as the sample size increases
Articolo in rivista - Articolo scientifico
Bayesian consistency; Exchangeable random partition; Gibbs-type partition; Species sampling model
English
2013
100
3
771
777
open
Bissiri, P., Ongaro, A., Walker, S. (2013). Species sampling models: consistency for the number of species. BIOMETRIKA, 100(3), 771-777 [10.1093/biomet/ast006].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/43777
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