Slides
Readings
- LOOCV and WAIC
- Bayesian Predictive methods for model selection
- Understanding predictive information Criteria
- Utility Review
- Frequentist and Bayesian Workflow
- Visualization in Bayesian Workflow
- Stacking and Pseudo-BMA
- Priors are defined wrt likelihoods
- Penalizing Model component Complexity