Revstat Statistical Journal (Apr 2009)

The SVM Approach for Box–Jenkins Models

  • Saeid Amiri ,
  • Dietrich von Rosen ,
  • Silvelyn Zwanzig

DOI
https://doi.org/10.57805/revstat.v7i1.71
Journal volume & issue
Vol. 7, no. 1

Abstract

Read online

Support Vector Machine (SVM) is known in classification and regression modeling. It has been receiving attention in the application of nonlinear functions. The aim is to motivate the use of the SVM approach to analyze the time series models. This is an effort to assess the performance of SVM in comparison with ARMA model. The applicability of this approach for a unit root situation is also considered.

Keywords