Akaike, H. (1973), "Information Theory and an Extension of the Maximum Likelihood Principle," in Proceedings of the 2nd International Symposium on Information Theory, B. N. Petrov and F. Csaki, eds., Budapest: Akademiai Kiado, 267–281.
Chu, C.-K. and Marron, J. S. (1991), "Choosing a Kernel Regression Estimator," Statistical Science, 6, 404–436.
Gasser, T. and Muller, H. G. (1979), "Kernel Estimation of Regression Functions," in Smoothing Techniques for Curve Estimation, Lecture Notes in Mathematics, 757, New York: Springer-Verlag, 23–68.
Hurvich, Clifford M., Simonoff, Jeffrey S., and Tsai, Chih-Ling (1998), "Smoothing Parameter Selection in Nonparametric Regression Using an Improved Akaike Information Criterion," Journal of the Royal Statistical Society, B.60, 271–293.
Nadaraya, E. A. (1964), "On Estimating Regression," Theory of Probability and Its Applications, 9, 141–142.
Rice, J. (1984), "Bandwidth Choice for Nonparametric Regression," Annals of Statistics, 12, 1215–1230.
Watson, G. S. (1964), "Smooth Regression Analysis," Sankhya A, 26, 259–372.