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Identification of the Structure of Linear and Non-Linear Time Series Models, Using Nonparametric Local Linear Kernel Estimation

  • Kirchner R
  • Souza R
  • Ziegelmann F
Springer Berlin Heidelberg, (2004), 589-596
DOI: 10.1007/978-3-540-44465-7_73
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Abstract

… and nonparametric works, … of a time series. Its main advantage is that it could be used for identification of both linear and non-linear models. Firstly, we have to apply the nonparametric …

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Kirchner, R. M., Souza, R. C., & Ziegelmann, F. A. (2004). Identification of the Structure of Linear and Non-Linear Time Series Models, Using Nonparametric Local Linear Kernel Estimation. In Soft Methodology and Random Information Systems (pp. 589–596). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-44465-7_73

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