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**Smoothing via Regression – Local vs Global Bases**

- B-splines
- Penalties
- Global bases can be ineffective
- Local bases are attractive

**P-splines**

- Dealing with non-normal data
- Density estimation
- Moving from GLM to P-spline
- Variance smoothing

**Optimizing the Smoothing**

- Cross-validation, AIC
- Error bands
- Fidelity to the data vs smooth curve

**Multidimensional Smoothing**

- Generalized Addition Models
- Tensor products
- Varying coefficient models