Optimal bandwidths for kernel density estimators of functions of observations
โ Scribed by Ibrahim A. Ahmad; Yanqin Fan
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 91 KB
- Volume
- 51
- Category
- Article
- ISSN
- 0167-7152
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โฆ Synopsis
We derive optimal bandwidths for kernel density estimators of functions of observations proposed in Frees (J. Amer. Statist. Assoc. 89 (1994) 517-525). Our criteria are, respectively, the minimization of the asymptotic mean squared error and of the asymptotic mean integrated squared error of the estimators.
๐ SIMILAR VOLUMES
With mild restrictions placed on the kernel, kernel estimates of an unknown multivariatc density are investigated when the observed data are dependent. A modified cross validation rule, the simple 'leave-(2P + 1)-o&' version of simple cross validation, is considered for bandwidth selection. Under th