Hierarchical Bayesian estimation for the number of species

被引：0

作者：

Rodrigues, J ^{[1
]}

Milan, LA ^{[1
]}

Leite, JG ^{[1
]}

机构：

[1] UFSCar, DEs, BR-13565905 Sao Carlos, SP, Brazil

来源：

BIOMETRICAL JOURNAL | 2001年 / 43卷 / 06期

关键词：

empirical Bayes; Metropolis algorithm; Poisson-gamma mixture distribution;

D O I：

10.1002/1521-4036(200110)43:6<737::AID-BIMJ737>3.0.CO;2-W

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页码：737 / 746

页数：10

共 16 条

[1]

Berger JO, 1999, STAT SCI, V14, P1

[2] ESTIMATING THE NUMBER OF SPECIES - A REVIEW [J].