Hierarchical Bayesian Analysis for the Number of Species
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چکیده
This paper is concerned with the estimation of the number of species in a population through a fully hierarchical Bayesian models using the Metropoliswithin-Gibbs algorithm. The proposed Bayesian estimator is based on Poisson random variables with means that are distributed according to some prior distributions with unknown hyperparameters. An empirical Bayes approach is considered and compared with the fully Bayesian approach based on biological data.
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تاریخ انتشار 2001