none

Gibbs sampler and Data augmentation algorithms can be viewed as two alter-
native sampling(or Monte Carlo)-based approaches to calculate the numerical
estimates of marginal density distribution. This article is concerned with the
estimation of the number of species in a population through a fully hierarchical
Bayesian model and an empirical Bayes approach using two kinds of alternative
sampling-based approaches proposed above. The proposed Bayesian estimators
are based on Poisson random variables with mean that are distributed according
to a prior distribution with unknown parameters.

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