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A Bayesian analysis for estimating the number of species in a population using nonhomogeneous Poisson process

✍ Scribed by José G. Leite; Josemar Rodrigues; Luis A. Milan

Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
127 KB
Volume
48
Category
Article
ISSN
0167-7152

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✦ Synopsis

We propose a Bayesian approach using nonhomogeneous Poisson process to estimate the number of species of a population. The proposed methodology uses a -mixture to eliminate the unknown total mean of each species. One contribution of the article is to apply the Metropolis-within-Gibbs algorithm to obtain the marginal posterior distribution of the number of species and the capture mean time.

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