I am using a model based on STAN, and found out that the results are different with the same data, even if the same seed is used. It also seems that the amount of different results is not endless, but just two or three. What can it be? I thought maybe the random walk comes to different local minimums, but could it be the case with the same seed?
The model params are these:
STAN_MODEL_PARAMETERS: Tuple[Tuple[str, Any]] = ( ("iter_sampling", 1000), ("chains", 2), ("iter_warmup", 1000), ("thin", 1), ("seed", 1), ("adapt_delta", 0.95), )