A note on nonparametric estimation of linear functionals
成果类型:
Article
署名作者:
Cai, TT; Low, MG
署名单位:
University of Pennsylvania
刊物名称:
ANNALS OF STATISTICS
ISSN/ISSBN:
0090-5364
发表日期:
2003
页码:
1140-1153
关键词:
convergence
RECOVERY
noise
rates
摘要:
Precise asymptotic descriptions of the minimax affine risks and biasvariance tradeoffs for estimating linear functionals are given for a broad class of moduli. The results are complemented by illustrative examples including one where it is possible to construct an estimator which is fully adaptive over a range of parameter spaces.