Monitoring parameter change in time series models
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DOI: 10.1007/s10260-011-0162-3
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Cited by:
- William Kengne & Isidore S. Ngongo, 2022. "Inference for nonstationary time series of counts with application to change-point problems," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 74(4), pages 801-835, August.
- Lee, Sangyeol & Meintanis, Simos G. & Pretorius, Charl, 2022. "Monitoring procedures for strict stationarity based on the multivariate characteristic function," Journal of Multivariate Analysis, Elsevier, vol. 189(C).
- Lee, Youngmi & Kim, Sungdon & Oh, Haejune, 2024. "Sequential change-point detection in time series models with conditional heteroscedasticity," Economics Letters, Elsevier, vol. 236(C).
- Bardet, Jean-Marc & Kengne, William, 2014. "Monitoring procedure for parameter change in causal time series," Journal of Multivariate Analysis, Elsevier, vol. 125(C), pages 204-221.
- KUROZUMI, Eiji & 黒住, 英司, 2016. "Monitoring Parameter Constancy with Endogenous Regressors," Discussion Papers 2016-01, Graduate School of Economics, Hitotsubashi University.
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Keywords
Monitoring parameter change; Time series models; Autocovariance of linear processes; GARCH models; Distributional changes;All these keywords.
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