Empirical spectral processes and their applications to time series analysis (Q1109413)
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scientific article; zbMATH DE number 4069935
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Empirical spectral processes and their applications to time series analysis |
scientific article; zbMATH DE number 4069935 |
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Empirical spectral processes and their applications to time series analysis (English)
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1988
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Let X(t) be an r-dimensional strictly stationary Gaussian time series with a matrix \(F=(F_{ab})\) of spectral distribution functions (SDF's). Let \(F^{(N)}\) be the matrix of empirical SDF's. Let \[ E_ N(g)=(N^{1/2}\int^{\pi}_{- \pi}g_{ab}(\lambda)\{dF_{ab}^{(N)}(\lambda)- dF_{ab}(\lambda)\})_{a,b=1,...,r}. \] The author proves weak convergence and equicontinuity of \(E_ N(g)\) for some classes of functions used as index sets for empirical processes. Some applications of general results to the theory of time series are indicated.
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strictly stationary Gaussian time series
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weak convergence
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equicontinuity
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0.9331943
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0.89750624
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