22.1 Expressing the models so far in a common framework
Much can be done with the basic model:
y=Xβ+ϵ
- Maximum likelihood for point estimation
- Including priors (regularization)
- Sampling the posterior to include uncertainty
- Forecasting including predictive uncertainty
- Additive nonlinear models (e.g. polynomials)