If pymc.numpy.random.seed(0) guarantee the same random number sequence to initialize a stochastic variable (say a Uniform distribution), why does its posterior samples (from trace plot) don't have the same values for multiple runs with the same seed=0 ?
Is there any internal random seed encoded in the pymc module ? Or, this is cause by the assigned "probability α" ? ( See http://en.wikipedia.org/wiki/Metropolis%E2%80%93Hastings_algorithm#Intuition )
Have anyone encountered this problem ? Is this related to the older version of pymc that I'm using ? Currently, I'm using pymc version 2.2 because failed to install version 3 to my computer with windows 7 platform.