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Bayesian Workflow for Generative Modeling in Computational Psychiatry

2024-02-22

Abstract excerpt

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 Translational Neuromodeling and Computational Psychiatry (TN/CP) so far. Here, we present a worked example of Bayesian workfl...

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Literature Corpus work
807abc40-33e4-55e1-a75b-6cdd77d9c78d
DOI
10.1101/2024.02.19.581001
Open publication

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Bayesian Workflow for Generative Modeling in Computational PsychiatryDOI 10.1101/2024.02.19.581001
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