Are there instances when reparameterizing a model makes it slower?

[Brideau]

@DanWeitzenfeld

The posterior has a lot of weight around -4 because that’s what the data informs it to be. The prior , with a mean of 0 and a std dev of 1.5, puts very little weight on -4.

I mean when you look at all_groups_mean in the posterior, it’s actually what the model determines to be the prior to be since it is a hyper-prior.