Modelling Abnormal Beliefs
Modelling Abnormal Beliefs
This is a tutorial on designing a Bayesian inference model to map belief trajectories, with emphasis on gaining familiarity with Hierarchical Gaussian Filters (HGFs).
This lesson corresponds to slides 65-90 of the PDF below.
Topics covered in this lesson
- Hierarchical Guassian Filter (HGF)
- Bayesian statistics and modelling
- Experimental design
External Links
Technology requirement
Coding language: MATLAB (more setup info)
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