Thin plate regression splines

@inproceedings{Wood2002ThinPR,
  title={Thin plate regression splines},
  author={Simon N. Wood},
  year={2002}
}
I discuss the production of low rank smoothers for d 1 dimensional data, which can be fitted by regression or penalized regression methods. The smoothers are constructed by a simple transformation and truncation of the basis that arises from the solution of the thin plate spline smoothing problem and are optimal in the sense that the truncation is designed to result in the minimum possible perturbation of the thin plate spline smoothing problem given the dimension of the basis used to construct… CONTINUE READING
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