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Keywords:
non-linear time series; invertibility; random coefficient moving average
non-linear time series; invertibility; random coefficient moving average
Summary:
A linear moving average model with random coefficients (RCMA) is proposed as more general alternative to usual linear MA models. The basic properties of this model are obtained. Although some model properties are similar to linear case the RCMA model class is too general to find general invertibility conditions. The invertibility of some special examples of RCMA(1) model are investigated in this paper.
References:
[1] Granger C. W. J., Andersen A. P.: An Introduction to Bilinear Time Series Models. Vandenhoek and Ruprecht, Gottingen 1978 MR 0483231 | Zbl 0379.62074
[2] Granger C. W. J., Andersen A. P.: On the invertibility of time series models. Stochastic Process. Appl. 8 (1978), 87–92 MR 0511877 | Zbl 0387.62076
[3] Marek T.: Maximum likelihood estimation in the simple NLMA model. In: Proc. WDS’99 (J. Šafránková, ed.), Matfyzpress, Praha 1999, pp. 28–33
[4] McKenzie E.: Product autoregression: a time-series characterization of the gamma distribution. J. Appl. Probab. 19 (1982), 463–468 DOI 10.2307/3213502 | MR 0649988 | Zbl 0491.60034
[5] Robinson P. M.: The estimation of a nonlinear moving average models. Stochastic Process. Appl. 5 (1977), 81–90 MR 0428654
[6] Štěpán J.: Probability Theory (in Czech). Academia, Praha 1986
[7] Tjøstheim D.: Some doubly stochastic time series models. J. Time Ser. Anal. 7 (1986), 51–72 DOI 10.1111/j.1467-9892.1986.tb00485.x | MR 0832352
[8] Tong H.: Nonlinear Time Series. Clarendon Press, Oxford 1990 MR 1079320 | Zbl 1037.62092
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