Journal of Time Series Analysis · 2012 · 38 citations · 19 references
Natural SciencesGeophysicsMathematicsMemoryStatisticsTime Series AnalysisElectroencephalographyFourier AnalysisHigh-frequency Data AnalysisLimit TheoremsStatistical InferenceTime-frequency AnalysisCentral Limit TheoremsCross-spectral AnalysisMemory Parameter EstimationPeriodogram AnalysisPower Spectral DensityRegularity TheorySpectral EstimationTapering
We prove the consistency of the averaged periodogram estimator (APE) in two new cases. First, we prove that the APE is consistent for negative memory parameters, after suitable tapering. Second, we prove that the APE is consistent for a power law in the cross‐spectrum and therefore for a power law in the coherency, provided that sufficiently many frequencies are used in estimation. Simulation evidence suggests that the lower bound on the number of frequencies is a necessary condition for consistency. For a Taylor series approximation to the estimator of the power law in the cross‐spectrum, we consider the rate of convergence and obtain a central limit theorem under suitable regularity conditions.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10