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Monitoring parameter change in time series models
Authors:Okyoung Na  Youngmi Lee  Sangyeol Lee
Affiliation:1.Department of Applied Information Statistics,Kyounggi University,Suwon,Korea;2.Department of Statistics,Seoul National University,Seoul,Korea
Abstract:In this paper, we develop a monitoring procedure for an early detection of parameter changes in time series models. We design the monitoring procedure in general time series models and apply it to the changes for the autocovariances of linear processes, GARCH parameters, and underlying distributions. Simulation results are provided for illustration.
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