Shrinkage estimators, Skorokhod's problem and stochastic integration by parts

成果类型:
Article
署名作者:
Evans, SN; Stark, PB
刊物名称:
ANNALS OF STATISTICS
ISSN/ISSBN:
0090-5364
发表日期:
1996
页码:
809-815
关键词:
spherical-symmetry Minimax Estimation QUADRATIC LOSS distributions
摘要:
For a broad class of error distributions that includes the spherically symmetric ones, we give a short proof that the usual estimator of the mean in a cl-dimensional shift model is inadmissible under quadratic loss when d greater than or equal to 3. Our proof involves representing the error distribution as that of a stopped Brownian motion and using elementary stochastic analysis to obtain a generalization of an integration by parts lemma due to Stein in the Gaussian case.