NONEXISTENCE OF AN ADAPTIVE ESTIMATOR FOR THE VALUE OF AN UNKNOWN PROBABILITY DENSITY
成果类型：
Note
署名作者：
LOW, MG
署名单位：
University of California System; University of California Berkeley
刊物名称：
ANNALS OF STATISTICS
ISSN/ISSBN：
0090-5364
DOI：
10.1214/aos/1176348544
发表日期：
1992
页码：
598-602
关键词：
摘要：
A strong adaptive criteria is defined for density estimation problems. In a particular case it is shown that there is no strongly adaptive sequence of estimators. In contrast Woodroofe has shown that a weakly adaptive result holds.