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  • 标题:Consistency of the Frequency Domain Bootstrap for differentiable functionals
  • 本地全文:下载
  • 作者:Patrice Bertail ; Anna E. Dudek
  • 期刊名称:Electronic Journal of Statistics
  • 印刷版ISSN:1935-7524
  • 出版年度:2021
  • 卷号:15
  • 期号:1
  • 页码:1-36
  • DOI:10.1214/20-EJS1787
  • 语种:English
  • 出版社:Institute of Mathematical Statistics
  • 摘要:In this paper consistency of the Frequency Domain Bootstrap for differentiable functionals of spectral density function of a linear stationary time series is discussed. The notion of influence function in the time domain on spectral measures is introduced. Moreover, the Fréchet and Hadamard differentiability of functionals of spectral measures are defined in the time domain. Sufficient and necessary conditions for consistency of the FDB in the considered problems are provided and the second order correctness is discussed for some functionals. Finally, validity of the FDB for the empirical processes is considered. As an illustration the notions of quantile and range in the time domain are discussed. A simulation study is provided, in which performance of the FDB is analyzed.
  • 关键词:Bootstrap;empirical process;Fréchet differentiability;influence function;second order correctness;spectral density function;spectral measure
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