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MODEL IMPERFECTION AND PREDICTING PREDICTABILITY

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Publication:2864959
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DOI10.1142/S0218127413300279zbMath1275.94049OpenAlexW2049735280MaRDI QIDQ2864959

Reason L. Machete

Publication date: 27 November 2013

Published in: International Journal of Bifurcation and Chaos (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0218127413300279

zbMATH Keywords

uncertaintybifurcationradial basis functionsforecastingchaotic circuits


Mathematics Subject Classification ID

Analytic circuit theory (94C05) Dynamical systems in other branches of physics (quantum mechanics, general relativity, laser physics) (37N20)




Cites Work

  • Localized Lyapunov exponents and the prediction of predictability
  • Convergence properties of radial basis functions
  • On selecting models for nonlinear time series
  • Consistent nonlinear dynamics: identifying model inadequacy
  • Optimal embedding parameters: a modelling paradigm
  • Ensemble forecasting
  • CHAOS AND WEATHER FORECASTING: THE ROLE OF THE UNSTABLE SUBSPACE IN PREDICTABILITY AND STATE ESTIMATION PROBLEMS
  • Combining inflation density forecasts
  • Independent coordinates for strange attractors from mutual information
  • EXPERIMENTAL CHAOS SYNCHRONIZATION IN CHUA'S CIRCUIT
  • Ergodic theory of chaos and strange attractors
  • ESTIMATING ERROR GROWTH AND SHADOW BEHAVIOR IN NONLINEAR DYNAMICAL SYSTEMS
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