Knot

Topic of Smooth means, part of Smoothing

Knot

Type Topic
Taught in Smooth means
Part Smoothing
Questions using it 3

A point where the pieces of a spline join. A smoothing spline puts a knot at every distinct x; in practice a smaller set, often ten equally spaced points or the deciles of x, is used.

In Smooth means

Putting a knot at every x_i is expensive, and \lambda itself changes meaning when you change the likelihood. In practice we use a smaller set of knots, ten equally spaced between the smallest and largest x being the usual default, or knots at the deciles if the x values pile up at one end. More knots are available when the sample is in the thousands. And we do not quote \lambda. Cross-validation hides a fraction of the sample, fits on the rest, and scores the hidden points, rotating which fraction is hidden. The software reports the smoothness as an equivalent degrees of freedom: the polynomial degree the curve is about as flexible as. As \lambda\to\infty that degrees of freedom falls to 1, a straight line, which is the ordinary GLM. As \lambda\to 0 the fit interpolates, and if no x values are tied it interpolates perfectly. Interpolation fits noise. It does not predict the next point.

Used in

See also

Roughness penalty · Cubic smoothing spline · Spline · Lidar data · Kyphosis data

Glossary and index