Replicating Hierarchical Normal Modeling book example

I am trying to replicate the example of Hierarchical Normal Modeling from
Probability and Bayesian Modeling Jim Albert and Jingchen Hu

10.2.1 Example: ratings of animation movies

Link → Chapter 10 Bayesian Hierarchical Modeling | Probability and Bayesian Modeling
Data → ProbBayes/2010_animation_ratings.csv at master · monika76five/ProbBayes · GitHub



what i am not able to do is to make a Hierarchical model with “combined”/universal standard deviation across all movies.

Any suggestions?

Do you have any starter code that we could help modify / make suggestions on?

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