A short note on optimal bandwidth selection for kernel estimators
- 31 January 1990
- journal article
- Published by Elsevier in Statistics & Probability Letters
- Vol. 9 (1) , 23-25
- https://doi.org/10.1016/0167-7152(90)90090-t
Abstract
No abstract availableKeywords
This publication has 5 references indexed in Scilit:
- How Far Are Automatically Chosen Regression Smoothing Parameters From Their Optimum?Journal of the American Statistical Association, 1988
- Biased and Unbiased Cross-Validation in Density EstimationJournal of the American Statistical Association, 1987
- Estimation of integrated squared density derivativesStatistics & Probability Letters, 1987
- Extent to which least-squares cross-validation minimises integrated square error in nonparametric density estimationProbability Theory and Related Fields, 1987
- On the Amount of Noise Inherent in Bandwidth Selection for a Kernel Density EstimatorThe Annals of Statistics, 1987