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Application of the theory of \(KM_ 2 O\)-Langevin equations to the nonlinear prediction problem for the one-dimensional strictly stationary time series - MaRDI portal

Application of the theory of \(KM_ 2 O\)-Langevin equations to the nonlinear prediction problem for the one-dimensional strictly stationary time series (Q1907763)

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scientific article; zbMATH DE number 844457
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English
Application of the theory of \(KM_ 2 O\)-Langevin equations to the nonlinear prediction problem for the one-dimensional strictly stationary time series
scientific article; zbMATH DE number 844457

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    Application of the theory of \(KM_ 2 O\)-Langevin equations to the nonlinear prediction problem for the one-dimensional strictly stationary time series (English)
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    11 March 1996
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    Using the theory of \(KM_2O\)-Langevin equations the authors provide computable algorithms for the nonlinear prediction problem. The theory of \(KM_2O\)-Langevin equations is developed and special consideration is given to the real-valued strictly stationary time series, the nonlinear prediction problem for which can be practically solved.
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    \(KM_ 2O\)-Langevin equations
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    nonlinear prediction
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    stationary time series
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