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Conference Papers Year : 2014

On diversity under a Bayesian nonparametric dependent model

Abstract

We present a dependent Bayesian nonparametric model for the probabilistic modelling of species-by-site data, i.e. population data where observations at different sites are classified into distinct species. We use a dependent version of the Griffiths-Engen-McCloskey distribution, the distribution of the weights of the Dirichlet process, in the same lines as the Dependent Dirichlet process is defined. The prior is thus defined via the stick-breaking construction. Some distributional properties of this model are presented.
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Dates and versions

hal-01203340 , version 1 (24-09-2015)

Identifiers

  • HAL Id : hal-01203340 , version 1

Cite

Julyan Arbel, Kerrie L. Mengersen, Judith Rousseau. On diversity under a Bayesian nonparametric dependent model. XLVII Meeting of the Italian Statistical Society, Italian Statistical Society, Jun 2014, Cagliari, Italy. ⟨hal-01203340⟩
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