Testing Bayesian models of belief updating in the context of depressive symptomatology

Testing Bayesian models of belief updating in the context of depressive symptomatology

Abstract Objectives Predictive processing approaches to belief updating in depression propose that depression is related to more negative and more precise priors. Also, belief updating is assumed be negatively biased in comparison to normative Bayesian updating. There is a lack of efficient methods...

Full description

Bibliographic Details
Main Authors: Matthias Feldmann, Tobias Kube, Winfried Rief, Eva‐Lotta Brakemeier
Format: Article
Language:English
Published: Wiley 2023-06-01
Series:International Journal of Methods in Psychiatric Research
Subjects:
Bayesian modelling
belief updating
depression
precision
predictive processing
Online Access:https://doi.org/10.1002/mpr.1946

Internet

https://doi.org/10.1002/mpr.1946

Similar Items