Hello, I’m new to Bayesian modelling so forgive if this question is obvious. I initialize a model, m1, and an identical model m2, as samples = scipy.stats.norm.rvs(loc=1,sd=1,size=10000) with pm.Model() as m1: mu=pm.Normal("mu",mu=0, sd=1) std = pm.Gamma("std",mu=0.5,sd=3) output=pm.…

How does sampling effect the logp?

pindapuj August 6, 2018, 3:12pm 3

That makes a lot more sense! Thank you @junpenglao!

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