Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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Bayesian Methods for Combining Results from Different Experiments

  • Lee, In-Suk (Department of Statistics, Kyungpook National University) ;
  • Kim, Dal-Ho (Department of Statistics, Kyungpook National University) ;
  • Lee, Keun-Baik (Department of Statistics, Kyungpook National University)
  • Published : 1999.04.01
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Abstract

We consider Bayesian models allow multiple grouping of parameters for the normal means estimation problem. In particular, we consider a typical Bayesian hierarchical approach based on thepartial exchangeability where the components within a subgroup are exchangeable, but the different subgroups are not. We discuss implementation of such Bayesian procedures via Gibbs sampling. We illustrate the proposed methods with numerical examples.

Keywords

References

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