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Partition Weighted Approach for Estimating the Marginal Posterior Density with Applications
The computation of marginal posterior density in Bayesian analysis is essential in that it can provide complete information about parameters of interest. Furthermore, the marginal posterior density can be used for computing Bayes factors, posterior model probabilities, and diagnostic measures. The c...
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| 發表在: | J Comput Graph Stat |
|---|---|
| Main Authors: | , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
2019
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6602590/ https://ncbi.nlm.nih.gov/pubmed/31263347 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10618600.2018.1529600 |
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