Hi and thank you for your response
I am not necessarily interested in seeing the update point by point but rather the final posterior after Y experiments.
“you have some one batch of fixed data and you don’t know N or p, so there’s no iterative process to go through to get from the prior to the posterior.”
This is correctly interpreted how I want to setup the experiment and the model, with 2 free variables n and p. I thought that n , p → N, P as n_experiments would get bigger. But what I see is not that behavior and I am somewhat surprised about the large uncertainty.
here is a snapshot after n_experiments = 1000
p
n
I am running 4 chains and evaluating p,n from
and
BR