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This paper discusses the problem of estimating unknown change point in the trend function of a time series regression model. The error process considered here is a Gaussian stationary process with spectral density. The asymptotic properties of quasi maximum likelihood (QMLE) and quasi Bayes...
Persistent link: https://www.econbiz.de/10005018602