ON CONVERGENCE-RATES OF SUPREMA
成果类型:
Article
署名作者:
HALL, P
刊物名称:
PROBABILITY THEORY AND RELATED FIELDS
ISSN/ISSBN:
0178-8051
DOI:
10.1007/BF01199788
发表日期:
1991
页码:
447-455
关键词:
density
摘要:
It is shown that the convergence rate of suprema of stationary Gaussian and related processes, such as processes defined by the empirical distribution function, is logarithmically slow, even if the rates are to be uniform over as few as three points. It is proved that the bootstrap approximation provides a substantial improvement.
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