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Operator-theoretic framework for forecasting nonlinear time series with kernel analog techniques

  • Published:2020-08 Issue: Volume:409 Page:132520
  • ISSN:0167-2789
  • Container-title:Physica D: Nonlinear Phenomena
  • language:en
  • Short-container-title:Physica D: Nonlinear Phenomena

Author:

Alexander Romeo,Giannakis Dimitrios

Funder

Office of Naval Research

National Science Foundation

Defense Advanced Research Projects Agency

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Statistical and Nonlinear Physics

Reference108 articles.

1. Atmospheric predictability as revealed by naturally occurring analogues;Lorenz;J. Atmos. Sci.,1969

2. Predicting chaotic time series;Farmer;Phys. Rev. Lett.,1987

3. Nonlinear prediction of chaotic time series;Casdagli;Physica D,1989

4. Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series;Sugihara;Nature,1990

5. Time series prediction by using delay coordinate embedding;Sauer,1993

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