๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Optimal bandwidths for kernel density estimators of functions of observations

โœ Scribed by Ibrahim A. Ahmad; Yanqin Fan


Publisher
Elsevier Science
Year
2001
Tongue
English
Weight
91 KB
Volume
51
Category
Article
ISSN
0167-7152

No coin nor oath required. For personal study only.

โœฆ 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.


๐Ÿ“œ SIMILAR VOLUMES


Asymptotically optimal bandwidth selecti
โœ Tae Yoon Kim ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 869 KB

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