articleJournal of Computational and Graphical StatisticsDec 1, 2002Closed access

Selecting the Number of Knots for Penalized Splines

Cornell University

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Abstract

Penalized splines, or P-splines, are regression splines fit by least-squares with a roughness penaly. P-splines have much in common with smoothing splines, but the type of penalty used with a P-spline is somewhat more general than for a smoothing spline. Also, the number and location of the knots of a P-spline is not fixed as with a smoothing spline. Generally, the knots of a P-spline are at fixed quantiles of the independent variable and the only tuning parameter to choose is the number of knots. In this article, the effects of the number of knots on the performance of P-splines are studied. Two algorithms are proposed for the automatic selection of the number of knots. The myoptic algorithm stops when no…

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Topics & keywords

Keywords
  • Mathematics
  • Combinatorics
  • Computer science
  • Artificial intelligence
  • Mathematical optimization
  • Algorithm
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