References
- Aydin, D., M. Memmedli, and R. E. Omay. 2013. Smoothing parameter selection for nonparametric regression using smoothing spline. European Journal of Pure and Applied Mathematics 6:222–38.
- Breiman, L. 1996. Heuristics of instability and stabilization in model selection. Annals of Statistics 24:2350–83.
- Chen, C. S., and H. C. Huang. 2011. An improved Cp criterion for spline smoothing. Journal of Statistical Planning and Inference 141:445–52.
- Craven, P., and G. Wahba. 1979. Smoothing noisy data with spline function: estimating the correct degree of smoothing by the method of generalized cross-validation. Numerical Mathematics 31:377–403.
- Demmler, A., and C. Reinsch. 1975. Oscillation matrices with spline smoothing. Numerical Mathematics 24:375–82.
- Efron, B. 2001. Selection criteria for scatterplot smoothers. Annals of Statistics 29:470–504.
- Green, P., and B. Silverman. 1994. Nonparametric regression and generalized linear models. London: Chapman and Hall.
- Gu, C. 2002. Smoothing spline ANOVA models. New York: Springer.
- Kou, S. C. 2003. On the efficiency of selection criteria in spline regression. Probability Theory and Related Fields 127:153–76.
- Kou, S. C. 2004. From finite sample to asymptotics: a geometric bridge for selection criteria in spline regression. Annals of Statistics 32:2444–68.
- Kou, S. C., and B. Efron. 2002. Smoothers and the Cp, generalized maximum likelihood, and extended exponential criteria: a geometric approach. Journal of the American Statistical Association 97:766–82.
- Li, K. C. 1986. Asymptotic optimality of Cp and generalized cross-validation in ridge regression with application to spline smoothing. Annals of Statistics 14:1101–12.
- Mallows, C. 1973. Some comments on Cp. Technometrics 15:661–75.
- Reiss, P. T., and R. T. Ogden. 2009. Smoothing parameter selection for a class of semiparametric linear models. Journal of the Royal Statistical Society, Series B, Statistical Methodology 71:505–23.
- Wahba, G. 1985. A comparison of GCV and GML for choosing the smoothing parameter in the generalized spline smoothing problem. Annals of Statistics 13:1378–402.
- Wecker, W., and C. Ansley. 1983. The signal extraction approach to nonlinear regression and spline smoothing. Journal of the American Statistical Association 78:81–89.