**Lectures:**

- Regression: Predicting and Relating Quantitative Features
- The Truth About Linear Regression
- Model Evaluation: Error and Inference
- Smoothing Methods in Regression
- The Bootstrap
- Heteroskedasticity, Weighted Least Squares, and Variance Estimation
- Splines
- Additive Models
- Writing R Code
- Testing Regression Specifications
- Hypothesis Testing and Statistical Evidence
- Logistic Regression
- Generalized Linear Models and Generalized Additive Models
- GLM and GAM Examples
- Multivariate Distributions
- Density Estimation
- Simulation
- Relative Distributions and Smooth Tests
- Principal Components Analysis
- Factor Analysis
- Mixture Models
- Graphical Models
- Graphical Causal Models
- Identifying Causal Effects from Observations
- Estimating Causal Effects from Observations
- Time Series I, without latent variables
- Time Series II, with latent variables

**Homework:**

- What's That Got to Do with the Price of Condos in California?
- Advantages of Backwardness
- How the
*Hyracotherium*Got Its Mass - It's Not the Heat that Gets to You, It's the Sustained Conjunction of Heat with Elevated Levels of Atmospheric Pollutants
- How the North American Mammalian Paleofauna Got a Crook in Its Curve
- What Makes the Union Strong?
- Fun with Density Estimation
- Red Brain, Blue Brain
- How the Recent Mammals Got Their Size Distribution
- Separated at Birth
- Brought to You by the Letters D, A, and G