Detecting and Analyzing Nonstationarity in a Time Series Using Nonlinear Cross Predictions

Thomas Schreiber
Phys. Rev. Lett. 78, 843 – Published 3 February 1997
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Abstract

We propose a test for stationarity in a time series which checks for the compatibility of nonlinear approximations to the dynamics made in different segments of the sequence. The segments are compared directly, rather than via statistical parameters. The approach provides detailed information about episodes with similar dynamics during the measurement period. This allows for a detailed analysis of physically relevant changes in the dynamics.

  • Received 24 July 1996

DOI:https://doi.org/10.1103/PhysRevLett.78.843

©1997 American Physical Society

Authors & Affiliations

Thomas Schreiber

  • Physics Department, University of Wuppertal, D-42097 Wuppertal, Germany

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Vol. 78, Iss. 5 — 3 February 1997

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