A COMPARISON OF HIERARCHICAL BAYES AND EMPIRICAL BAYES METHODS WITH A FORESTRY APPLICATION

被引：2

作者：

GREEN, EJ ^{[1
]}

STRAWDERMAN, WE ^{[1
]}

机构：

[1] RUTGERS STATE UNIV,DEPT STAT,NEW BRUNSWICK,NJ 08903

来源：

FOREST SCIENCE | 1992年 / 38卷 / 02期

关键词：

GIBBS SAMPLING; STATISTICAL INFERENCE;

D O I：

暂无

中图分类号：

S7 [林业];

学科分类号：

0829 ; 0907 ;

摘要：

Gibbs sampling for generating marginal posterior distributions in Bayesian analysis is introduced to the forestry literature. Hierarchical Bayes and (parametric) empirical Bayes methods are compared theoretically and with a practical example. It is shown that in the latter procedures, the error due to estimating the hyperparameters from the marginal distribution of the data is ignored. This results in underestimating the scale of the marginal posterior distributions.

引用

页码：350 / 366

页数：17

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