Kernel spline regression

  title={Kernel spline regression},
  author={W. John Braun and Li-Shan Huang},
The authors propose "kernel spline regression," a method of combining spline regression and kernel smoothing by replacing the polynomial approximation for local polynomial kernel regression with the spline basis. The new approach retains the local weighting scheme and the use of a bandwidth to control the size of local neighborhood. The authors compute the bias and variance of the kernel linear spline estimator, which they compare with local linear regression. They show that kernel spline… CONTINUE READING