By “same model”, we mean the same log density. So there may be some misunderstanding in terminology here.
Oh that might be the case…
Actually, I am quiet confused right now :D
Lets just say, I have the same model code and I am starting some runs with this same model code but with random generated starting parameters, so there is always a slightly different outcome of the different runs.
Now I just want to know, which run was the best, and I read this was possible to answer by looking at the lp__ value, but I am not sure which lp__ value is the better one, a more negative one?