Local functional coefficient autoregressive model for multistep prediction of chaotic time series
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Publication:1723294
DOI10.1155/2015/329487zbMath1464.62393OpenAlexW2157405271WikidataQ59105823 ScholiaQ59105823MaRDI QIDQ1723294
Publication date: 19 February 2019
Published in: Discrete Dynamics in Nature and Society (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2015/329487
Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Economic growth models (91B62)
Cites Work
- A new local linear prediction model for chaotic time series
- Chaotic analysis of the foreign exchange rates
- Prediction of multivariate chaotic time series with local polynomial fitting
- A new adaptive local linear prediction method and its application in hydrological time series
- Practical method for determining the minimum embedding dimension of a scalar time series
- Multi-step prediction of chaotic time-series with intermittent failures based on the generalized nonlinear filtering methods
- Deterministic Nonperiodic Flow
- Oscillation and Chaos in Physiological Control Systems
- Adaptive Varying-Coefficient Linear Models
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