Hierarchical Bayesian Estimation for the Number of Species
Josemar Rodrigues, Luís Aparecido Milan, José Galvão Leite · Biometrical Journal · 2001
This paper is concerned with the estimation of the number of species in a population through a fully hierarchical Bayesian model using the Metropolis 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.