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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