1. Principles of Bayesian Inference
2. Model Comparison and Choice
3. Regression for Metric Outcomes
4. Models for Binary and Count Outcomes
5. Further Questions in Binomial and Count Regression
6. Random Effect and Latent Variable Models for Multicategory Outcomes
7. Ordinal Regression
8. Discrete Spatial Data
9. Time Series Models for Discrete Variables
10. Hierarchical and Panel Data Models
11. Missing-Data Models
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Zumdahl,줌달,맥머리
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