Bayesian Nonparametric Estimation of the Probability of Discovering New Species
We consider the problem of evaluating the probability of discovering a certain number of new species in a new sample of population units, conditional on the number of species recorded in a basic sample. We use a Bayesian nonparametric approach. The different species proportions are assumed to be random and the observations from the population exchangeable. We provide a Bayesian estimator, under quadratic loss, for the probability of discovering new species which can be compared with well-known frequentist estimators. The results we obtain are illustrated through a numerical example and an application to a genomic dataset concerning the discovery of new genes by sequencing additional single-read sequences of cdna fragments. Copyright 2007, Oxford University Press.
Year of publication: |
2007
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Authors: | Lijoi, Antonio ; Mena, Ramsés H. ; Prünster, Igor |
Published in: |
Biometrika. - Biometrika Trust, ISSN 0006-3444. - Vol. 94.2007, 4, p. 769-786
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Publisher: |
Biometrika Trust |
Saved in:
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