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)