The asymptotic covariance matrix of the multivariate serial correlations

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    Abstract

    We show that the entries of the asymptotic covariance matrix of the serial covariances and serial correlations of a multivariate stationary process can be expressed in terms of the autocovariances corresponding to the tensor square of its spectral density. The tensor convolution introduced in the paper may be of some interest on its own.
    Original languageEnglish
    Pages (from-to)251-258
    Number of pages7
    JournalStochastic Processes and their Applications
    Volume65
    Issue number2
    DOIs
    Publication statusPublished - 27 Dec 1996

    Keywords

    • Asymptotic distribution
    • Bartlett's formula
    • Multivariate ARMA
    • Serial correlations
    • Serial covariances
    • Tensor convolution

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