Fourier-Type Monitoring Procedures for Strict Stationarity

  • S. Lee
  • S. G. Meintanis
  • C. PretoriusEmail author
Conference paper
Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 250)


We consider model-free monitoring procedures for strict stationarity of a given time series. The new criteria are formulated as L2-type statistics incorporating the empirical characteristic function. Monte Carlo results as well as an application to financial data are presented.


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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Department of StatisticsSeoul National UniversitySeoulSouth Korea
  2. 2.National and Kapodistrian University of AthensAthensGreece
  3. 3.Unit for Business Mathematics and InformaticsNorth-West UniversityPotchefstroomSouth Africa
  4. 4.Unit for Business Mathematics and InformaticsNorth-West UniversityPotchefstroomSouth Africa

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