I am of the impression from the bayes’ formula that, to get a posterior probability, we need the prior probability and the likelihood of the observed values. Having said that, if we define a model “without” passing the “observed” data and then do pm.sample(), the documentation[ here ] says that it sa…

Pm.sample() - How can the posterior be defined when there is no observed data to calculate the likelihood?

Gireesh_Ramji December 7, 2022, 5:40am 6

Thank you @ricardoV94 and @bwengals, things are a lot clearer now.

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