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Bayesian model reduction and empirical Bayes for group (DCM) studies
This technical note describes some Bayesian procedures for the analysis of group studies that use nonlinear models at the first (within-subject) level – e.g., dynamic causal models – and linear models at subsequent (between-subject) levels. Its focus is on using Bayesian model reduction to finesse t...
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| 出版年: | Neuroimage |
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| 主要な著者: | , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Academic Press
2016
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4767224/ https://ncbi.nlm.nih.gov/pubmed/26569570 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2015.11.015 |
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