Consistency of the Frequency Domain Bootstrap for differentiable functionals

被引:0
|
作者
Bertail, Patrice [1 ]
Dudek, Anna E. [2 ]
机构
[1] UPL Univ Paris Nanterre, MODAL X, Nanterre, France
[2] AGH Univ Sci & Technol, Dept Appl Math, Al Mickiewicza 30, PL-30059 Krakow, Poland
来源
ELECTRONIC JOURNAL OF STATISTICS | 2021年 / 15卷 / 01期
关键词
Bootstrap; empirical process; Frechet differentiability; influence function; second order correctness; spectral density function; spectral measure; REGENERATIVE-BLOCK BOOTSTRAP; TIME-SERIES; RATIO STATISTICS; JACKKNIFE;
D O I
10.1214/20-EJS1787
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
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 Frechet 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.
引用
收藏
页码:1 / 36
页数:36
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