A SIMPLE BIAS REDUCTION METHOD FOR DENSITY-ESTIMATION

成果类型:
Article
署名作者:
JONES, MC; LINTON, O; NIELSEN, JP
署名单位:
Yale University
刊物名称:
BIOMETRIKA
ISSN/ISSBN:
0006-3444
发表日期:
1995
页码:
327338
关键词:
variable bandwidth regression PRINCIPLE
摘要:
A new method for bias reduction in nonparametric density estimation is proposed. The method is a simple, two-stage multiplicative bias correction. Its theoretical properties are investigated, and simulations indicate its practical potential. The method is easy to compute and to analyse, and extends simply to multivariate and other estimation problems.