2006 · 38 citations · 17 references
ComputingMathematicsRepresentation TheoryStochastic ProcessesTime Series AnalysisLong-memory ProcessesStationary ProcessesTime Series EconometricsTime Series ForecastingTime Series ModelingTime Series PredictionLong Memory ModelsLong-memory ForecastingProjection OperatorsStationary Processes EstimationStationary Time Series
Abstract. We consider the finite-past predictor coefficients of stationary time series, and establish an explicit representation for them, in terms of the MA and AR coefficients. The proof involves the alternate iteration of projection operators associated with the infinite past and the infinite future. We provide several applications, which include rates of convergence of the finite predictor coefficients, an equality of Baxter-type for long memory processes, and a simple representation of the partial autocorrelation function α(·). We use the last result to obtain the precise asymptotic behavior of α(·) with remainder, for the fractional ARIMA processes. 1.
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Time Series: Theory and Methods
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<i>Toeplitz Forms and Their Applications</i>
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