4.3 GAM

  • smoothing bases
    • natural cubic splines are smoothest interpolators
    • cubic smoothing splines
    • cubic regression splines
    • cyclic cubic regression spline
    • p-splines
    • thin plate regression splines
    • tensor products smooths
  • polynomial spline
  • cubic spline
    • on each data
  • regression spline
    • on knots evenly spaced or with quantiles
    • penalizing to avoid overfitting
    • for \(\lambda\) known, it is still a augmented linear model
    • select \(\lambda\) with ordinary cross validation
    • computational and invariante advante og generalized cross validation
    • Implementation
    • initialize lambda
    • given lambda, obtain beta
    • compute gcv, and interate with previous step
    • Identifiability, constrain one the rest of intercept parameters to zero.