Discussion Leader: Bob Carpenter, CCM
Topic: Two short case studies, both of which are tutorial in nature and should be easy reads (feedback on that front more than welcome).
For probabilistic prediction, full Bayes is better than point estimators
Maximum marginal likelihood and posterior approximations with Monte Carlo expectation maximization
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