AN EFFICIENT ALGORITHM FOR THE LEAST-SQUARES CROSS-VALIDATION WITH SYMMETRICAL AND POLYNOMIAL KERNELS
The least-squares cross-validation is a completely automatic method for choosing the smoothing parameter in probability density estimation but this method consume large amounts of computer time. This article concerns an efficient computational algorithm for this method when the kernel is symmetric and polynomial functions.
- Publisher
- MARCEL DEKKER INC
- Issue Date
- 1990
- Language
- English
- Article Type
- Article
- Keywords
FAST FOURIER-TRANSFORM; DENSITY
- Citation
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, v.19, no.4, pp.1513 - 1522
- ISSN
- 0361-0918
- Appears in Collection
- MT-Journal Papers(저널논문)
- Files in This Item
- There are no files associated with this item.
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