This is a slide deck that I put together for my day job. It explains Bayesian hierarchical modeling.
Link to the slide deck
It's given in the context of A/B testing and multiple comparisons, and assumes some knowledge of Beta distributions - but even if you don't have that background, it should still be useful as an intuitive, conceptual understanding of Bayesian logic and hierarchical modeling.
In particular, there's one part in my Bayesian evaluation for the likelihood of Christ's resurrection where I mention Bayesian hierarchical modeling in passing. This presentation actually came out of me thinking through that part. So I thought I'd make a post out of it.
You may next want to read:
Sherlock Bayes, logical detective: a murder mystery game
A record of the total solar eclipse
Another post, from the table of contents
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