hi, thank you for getting back to me, I will try to revive this old post.
By maximizing my distribution entropy (in this case a normal distribution), the sampler will not be able to change the likelihood distribution?
Lets say i for example have a exponentially distributed variable, that I use a normal likelihood function for, my posterior predictive checks will be constrained to a normal distribution?