Bayesian Workflow for Generative Modeling in Computational Psychiatry
Computational (generative) modelling of behaviour has considerable potential for clinical applications. In order to unlock the potential of generative models, reliable statistical inference is crucial. For this, Bayesian workflow has been suggested which, however, has rarely been applied in Translat...
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| Main Authors: | Alexander J. Hess, Sandra Iglesias, Laura Köchli, Stephanie Marino, Matthias Müller-Schrader, Lionel Rigoux, Christoph Mathys, Olivia K. Harrison, Jakob Heinzle, Stefan Frässle, Klaas Enno Stephan |
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| Format: | Article |
| Language: | English |
| Published: |
Ubiquity Press
2025-03-01
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| Series: | Computational Psychiatry |
| Subjects: | |
| Online Access: | https://account.cpsyjournal.org/index.php/up-j-cp/article/view/116 |
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