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).
from GitHub:
For probabilistic prediction, full Bayes is better than point estimators
https://github.com/bob-carpenter/case-studies/tree/master/bayes-versus
Maximum marginal likelihood and posterior approximations with Monte Carlo expectation maximization
https://github.com/bob-carpenter/case-studies/tree/master/monte-carlo-em
Please email Sara Mejias Gonzalez at [email protected] for Zoom information if you would like to participate.