Nonparametric interval prediction of chaotic time series and its application to climatic system

DOI10.1080/00207721.2012.670287zbMath1281.62206OpenAlexW2036126180MaRDI QIDQ2872646

Tengzhong Rong, Zhi Xiao

Publication date: 15 January 2014

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2012.670287

zbMATH Keywords

neighbour points

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to environmental and related topics (62P12) Order statistics; empirical distribution functions (62G30) Nonparametric statistical resampling methods (62G09) Computing methodologies and applications (68U99) Applications of dynamical systems (37N99)

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Cites Work

• Determining Lyapunov exponents from a time series
• Measuring the strangeness of strange attractors
• Nonlinear prediction of chaotic time series
• Chaotic analysis of US money and velocity measures
• Weighted bootstrap for neural model selection
• Smooth adaptive sliding mode observers in uncertain chaotic communication
• Period Three Implies Chaos
• Tracking control of chaotic coronary artery system
• Synchronisation of chaotic delayed artificial neural networks: an ℍ_∞control approach

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