estimation of time series models via robust wavelet variance

estimation of time series models via robust wavelet variance

;Stephane Guerrier;Roberto Molinari;Maria-Pia Victoria-Feser
international journal of genomics 2014 Vol. 43 pp. 267-277
168
guerrier2014austrianestimation

Abstract

A robust approach to the estimation of time series models is proposed. Taking from
a new estimation method called the Generalized Method of Wavelet Moments (GMWM)
which is an indirect method based on the Wavelet Variance (WV), we replace the classical
estimator of the WV with a recently proposed robust M-estimator to obtain a robust
version of the GMWM. The simulation results show that the proposed approach can be
considered as a valid robust approach to the estimation of time series and state-space
models.

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191596
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10.17713/ajs.v43i4.45
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