Invariance principles for fractionally integrated nonlinear processes

  • Wu W
  • Shao X
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Abstract

We obtain invariance principles for a wide class of fractionally integrated nonlinear processes. The limiting distributions are shown to be fractional Brownian motions. Under very mild conditions, we extend earlier ones on long memory linear processes to a more general setting. The invariance principles are applied to the popular R/S and KPSS tests.

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Wu, W. B., & Shao, X. (2006). Invariance principles for fractionally integrated nonlinear processes. In Recent Developments in Nonparametric Inference and Probability (pp. 20–30). Institute of Mathematical Statistics. https://doi.org/10.1214/074921706000000572

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