Analysis of persistent nonstationary time series and applications (Q1931257)

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scientific article; zbMATH DE number 6130513
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Analysis of persistent nonstationary time series and applications
scientific article; zbMATH DE number 6130513

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    Analysis of persistent nonstationary time series and applications (English)
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    25 January 2013
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    The authors introduce a derivation of the general framework for analyzing nonstationary time series. In Section 2, a complete, unified and simplified derivation of the finite element methods of time series analysis with bounded variation of the model parameters (FEM-BV) methodology is given. In Section 3, a unified strategy for model selection is provided. In Section 4, a prediction strategy for predicting the dynamics with motivation is discussed. Finally, some numerical examples and possible applications are given in Section 5.
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    nonstationary data analysis
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    clustering
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    finite element method
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