Автор |
Thompson, A.M. |
Автор |
Kay, J.W. |
Автор |
Titterington, D.M. |
Дата выпуска |
1989 |
Формат |
application.pdf |
Издатель |
Gordon and Breach Science Publishers |
Копирайт |
Copyright Taylor and Francis Group, LLC |
Тема |
Crossvalidatin |
Тема |
regularization |
Тема |
ridge regression |
Тема |
smoothing |
Название |
A cautionary note about crossvalidatory choice |
Тип |
research-article |
DOI |
10.1080/00949658908811198 |
Electronic ISSN |
1563-5163 |
Print ISSN |
0094-9655 |
Журнал |
Journal of Statistical Computation and Simulation |
Том |
33 |
Первая страница |
199 |
Последняя страница |
216 |
Аффилиация |
Thompson, A.M.; Department of Statistics, University Gardens |
Аффилиация |
Kay, J.W.; Department of Statistics, University Gardens |
Аффилиация |
Titterington, D.M.; Department of Statistics, University Gardens |
Выпуск |
4 |
Библиографическая ссылка |
Eubank, R.L. “Diagnostics for smoothing splines”. In Journal of the Royal Statistical Society, B 47 332–341. |
Библиографическая ссылка |
Golub, G., Heath, M. and Wahba, G. 1979. Generalizd cross—validation as a method for choosing a good ridge parameter. Technometrics, 21: 215–223. |
Библиографическая ссылка |
Golub, G.H. and Van Loan, C.H. in press. Matrix Computations, |
Библиографическая ссылка |
Green, P., Jennison, C. and Seheult, A. “Analysis of field experiments by least squares smoothing”. In Journal of the Royal Statistical Society, B 47 299–315. |
Библиографическая ссылка |
Hall, P. and Titterington, D.M. “Common structure of techniques for choosing smoothing parameters in regression problems”. In Journal of the Royal Statistical Society, B 49 184–198. |
Библиографическая ссылка |
Hardle, W., Hall, P. and Marron, J.S. 1988. How far are automatically chosen regression smoothing parameters from their optimum. Journal of the American Statistical Association, 83: 86–101. |
Библиографическая ссылка |
Kay, J.W. “On the choice of regularisation parameter in image restoration”. In Pattern Recognition Lecture Notes in Computer Science |
Библиографическая ссылка |
Kay, J.W. “Asymptotic comparison factors for smoothing parameter choices in linear regression”. In Submitted for publication |
Библиографическая ссылка |
Kay, J.W. 1989b. A comparison of smoothing parameterchoices in image restoration. Proc.IMS Mtg.Spatial Statist.and Imaging. To appear.Institute Math.Statist, |
Библиографическая ссылка |
NAG. 1989b. Nag Fortran,Mark 11. Numerical Algorithms Group, Oxford |
Библиографическая ссылка |
Scott, D.W. and Terrell, G.R. 1987. Biased and unbiased crossvalidation in density estimation. Journal of the American Statistical Association, 82: 1131–1146. |
Библиографическая ссылка |
Silverman, B.W. 1984. A fast and efficient cross-validation method for smoothing parameter choice in spline regression. Journal of the American Statistical Association, 79: 584–589. |
Библиографическая ссылка |
Silverman, B.W. “Some aspects of the spline smoothing approach to nonparametric regression curve fitting(with Discussion)”. In Journal of the Royal Statistical Society, B 47 1–52. |
Библиографическая ссылка |
Thompson, A.M., Brown, J.C., Kay, J.W. and Titterington, D.M. “A comparison of methods of choosing the smoothing parameter in image restoration by regularization”. Submitted for publication |
Библиографическая ссылка |
Titterington, D.M. 1985. Common structure of smoothing techniques in statistics. International Statistical Review, 53: 141–170. |
Библиографическая ссылка |
Wahba, G. 1977. Practical Approximate solutions to linear operator equations when the data are noisy. SIAM Journal of Numerical Analysis, 14: 651–667. |
Библиографическая ссылка |
Wahba, G. “Bayesian “confidence intervals” for the crossvalidated smoothing spline”. In Journal of the Royal Statistical Society, B 45 133–150. |
Библиографическая ссылка |
Wahba, G. and Wang, Y. “When is the optimal regularisation parameter insensitive to the choice of loss function”. In Technical Report No.809 |