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 est
β¦ LIBER β¦
A note on kernel density estimators with optimal bandwidths
β Scribed by Nils Lid Hjort; Stephen G. Walker
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 93 KB
- Volume
- 54
- Category
- Article
- ISSN
- 0167-7152
No coin nor oath required. For personal study only.
β¦ Synopsis
We show that the cumulative distribution function corresponding to a kernel density estimator with optimal bandwidth lies outside any conΓΏdence interval, around the empirical distribution function, with probability tending to 1 as the sample size increases.
π SIMILAR VOLUMES
Optimal bandwidths for kernel density es
β
Ibrahim A. Ahmad; Yanqin Fan
π
Article
π
2001
π
Elsevier Science
π
English
β 91 KB
A short note on optimal bandwidth select
β
Enno Mammen
π
Article
π
1990
π
Elsevier Science
π
English
β 210 KB
Bootstrap optimal bandwidth selection fo
β
Michael Falk
π
Article
π
1992
π
Elsevier Science
π
English
β 511 KB
Asymptotically optimal bandwidth selecti
β
Tae Yoon Kim
π
Article
π
1997
π
Elsevier Science
π
English
β 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
Data-dependent bandwidth choice for a gr
β
Jan Δwik; Jan Mielniczuk
π
Article
π
1993
π
Elsevier Science
π
English
β 627 KB
Bias annihilating bandwidths for kernel
β
Martin L. Hazelton
π
Article
π
1998
π
Elsevier Science
π
English
β 276 KB