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Take a look at the hierarchical Bayesian estimation of parameters from several different angles

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  • Ming Han

Abstract

The hierarchical Bayesian method has been paid more and more attention mainly because of its good performance in application. In this paper, we introduced hierarchical Bayesian estimation of parameters from several different angles, mainly including two parts: (i) by traditional method and MCMC method (use OpenBUGS) obtains hierarchical Bayesian estimation; (ii) E-Bayesian estimation (expected Bayesian estimation) and hierarchical Bayesian estimation (the failure data of shared memory processors of supercomputer obey the Poisson distribution). In addition, combined with the data in the two above parts are performed for calculation and analysis.

Suggested Citation

  • Ming Han, 2023. "Take a look at the hierarchical Bayesian estimation of parameters from several different angles," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 52(21), pages 7718-7730, November.
    • Handle: RePEc:taf:lstaxx:v:52:y:2023:i:21:p:7718-7730
    DOI: 10.1080/03610926.2022.2056752
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