Topics

Short term (before spring break):

• Finish log-linear models
  • Introduction to graphical models and model selection methods
  • Fixed and random zeros

• Brief walk through logistic regression

Longer term (after spring break---approximately 5 weeks):

• Survival Analysis (2 weeks)
• Time Series (2 weeks)
• Topics from Modern Regression, Machine Learning (2 weeks?)