ABSTRACT

In this chapter we explain how the curve g that minimizes the penalized sum of squares (1.3) can be found. A pivotal role in our discussion is played by cubic splines. We shall first describe what a cubic spline is, and then explain how cubic splines arise in interpolation and nonparametric regression. Some algorithmic material will also be presented.