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Erschienen in:
2020 | OriginalPaper | Buchkapitel
Bayesian Nonparametric Prediction with Multi-sample Data
verfasst von : Federico Camerlenghi, Antonio Lijoi, Igor Prünster
Erschienen in: Nonparametric Statistics
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Abstract
In the present paper, we address the problem of prediction within the setting of species sampling models. We consider d populations composed of different species with unknown proportions. Our goal is to predict specific features of additional and unobserved samples from the d populations by adopting a Bayesian nonparametric model. We focus on a broad class of hierarchical priors. These were introduced and investigated in
[1], where also an algorithm for drawing predictions is devised, however, without any specific numerical illustration. The aim of this paper is twofold: on the one hand, we provide an illustration with an actual implementation of the algorithm of
[1] and, on the other hand, we discuss its relevance with respect to complex prediction problems with species sampling data.