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Regression modelEconometrics / time series

Ikke-lineær Autoregressiv (NAR) Model

NAR-modellen udvider det klassiske autoregressive rammeværk ved at tillade, at afbildningen fra tidligere værdier til den aktuelle værdi følger en vilkårlig eller regime-skiftende ikke-lineær funktion. Vigtige familier inkluderer Self-Exciting Threshold AR (SETAR), Smooth Transition AR (STAR) og neurale netværks AR, som hver især indfanger forskellige former for asymmetri, regimeskift eller glatte ikke-lineære dynamikker i univariate tidsserier.

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Kilder

  1. Tong, H. (1990). Non-Linear Time Series: A Dynamical System Approach. Oxford University Press. ISBN: 9780198522201
  2. Terasvirta, T. (1994). Specification, estimation, and evaluation of smooth transition autoregressive models. Journal of the American Statistical Association, 89(425), 208-218. DOI: 10.1080/01621459.1994.10476462

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ScholarGate. (2026, June 3). Nonlinear Autoregressive Model. ScholarGate. https://scholargate.app/da/econometrics/nonlinear-ar-model

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ScholarGateNonlinear AR Model (Nonlinear Autoregressive Model). Hentet 2026-06-15 fra https://scholargate.app/da/econometrics/nonlinear-ar-model · Datasæt: https://doi.org/10.5281/zenodo.20539026