At the bottom of page 94, under code block 3.1, there is a line:
We are leaving 𝜎 without hyperpriors; in other words, we are assuming that the variance between observed and theoretical values should be the same for all groups.
However, we have a fully unpooled model with dims appearing in the prior. Thus, I believe the statement should actually be that we are assuming each group has its own unique 𝜎. To get the same variance for each group, I think we'd have to get rid of the dims argument in the prior for 𝜎 (and the corresponding [idx] in the likelihood).
At the bottom of page 94, under code block 3.1, there is a line:
However, we have a fully unpooled model with
dimsappearing in the prior. Thus, I believe the statement should actually be that we are assuming each group has its own unique 𝜎. To get the same variance for each group, I think we'd have to get rid of thedimsargument in the prior for 𝜎 (and the corresponding[idx]in the likelihood).