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Post hoc Bayesian model selection
This note describes a Bayesian model selection or optimization procedure for post hoc inferences about reduced versions of a full model. The scheme provides the evidence (marginal likelihood) for any reduced model as a function of the posterior density over the parameters of the full model. It rests...
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| Main Authors: | , |
|---|---|
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Academic Press
2011
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3112494/ https://ncbi.nlm.nih.gov/pubmed/21459150 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2011.03.062 |
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