• Media type: E-Book; Report; Text
  • Title: Bootstrap confidence bands for the autoregression function
  • Contributor: Kreiss, Jens-Peter [Author]; Neumann, Michael H. [Author]
  • imprint: Weierstrass Institute for Applied Analysis and Stochastics publication server, 1996
  • Language: English
  • DOI: https://doi.org/10.20347/WIAS.PREPRINT.263
  • Keywords: 62G09 ; article ; 62G15 ; Nonparametric autoregression -- nonparametric regression -- strong approximation -- bootstrap -- wild bootstrap -- confidence bands ; 62G07 ; 62M05
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  • Description: We derive a strong approximation of a local polynomial estimator (LPE) in nonparametric autoregression by an LPE in a corresponding nonparametric regression model. This generally suggests the application of regression-typical tools for statistical inference in nonparametric autoregressive models. It provides an important simplification for the bootstrap method to be used: It is enough to mimic the structure of a nonparametric regression model rather than to imitate the more complicated process structure in the autoregressive case. As an example we consider a simple wild bootstrap. Besides our particular application to simultaneous confidence bands, this suggests the validity of wild bootstrap for several other statistical purposes.
  • Access State: Open Access