A note on bootstrap model selection criterion
We show that a bootstrap model selection criterion constructed by directly plugging-in a consistent estimator in place of the unknown parameter has a downward bias of amount roughly equivalent to the number of parameters in the approximating model. An example is provided to illustrate the points discussed.
| Year of publication: |
1996
|
|---|---|
| Authors: | Chung, Han-Yeong ; Lee, Kee-Won ; Koo, Ja-Yong |
| Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 26.1996, 1, p. 35-41
|
| Publisher: |
Elsevier |
| Keywords: | Kullback-Leibler discrepancy Nonparametric bootstrap Parametric bootstrap |
Saved in:
Saved in favorites
Similar items by person
-
B-spline estimation of regression functions with errors in variable
Koo, Ja-Yong, (1998)
-
Sharp minimaxity and spherical deconvolution for super-smooth error distributions
Kim, Peter T., (2004)
-
Structured multicategory support vector machines with analysis of variance decomposition
Lee, Yoonkyung, (2006)
- More ...