Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
418095 | Computational Statistics & Data Analysis | 2007 | 16 Pages |
Abstract
Efficient algorithms that compute both the estimates and the generalized cross-validation score for the problem of Whittaker–Henderson smoothing are presented. Algorithm efficiency results from carefully exploiting the problem's rich structure to reduce execution time and memory use. The algorithms are much faster than existing ones, and use significantly less memory. MATLAB M-files are included.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Howard L. Weinert,