期刊
STATISTICS AND COMPUTING
卷 10, 期 3, 页码 231-236出版社
SPRINGER
DOI: 10.1023/A:1008939510946
关键词
regularization; smoothing splines; smoothing parameter; generalized cross-validation; interval analysis
Generalized cross-validation is a method for choosing the smoothing parameter in smoothing splines and related regularization problems. This method requires the global minimization of the generalized cross-validation function. In this paper an algorithm based on interval analysis is presented to find the globally optimal value for the smoothing parameter, and a numerical example illustrates the performance of the algorithm.
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