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On subordination and linear transformation of harmonizable and periodically correlated processes

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Probability Theory on Vector Spaces III

Part of the book series: Lecture Notes in Mathematics ((LNM,volume 1080))

Abstract

The problem of finding analytic conditions for subordination of harmonizable and periodically correlated sequences is studied. Sufficient conditions for subordination of harmonizable sequences (in the spirit of Kolmogorov’s work) and a simple counter-example showing that these conditions are not necessary are given. In the case of periodically correlated sequences, which is a subclass of harmonizable sequences, necessary and sufficient conditions for subordination, mutual subordination and necessary conditions for strong subordination of such processes in terms of their associated multivariate stationary sequences are derived. The problem of finding spectral conditions such that it is possible to find a mean-convergent series for a harmonizable sequence, when it is a linear transformation of another such sequence is studied. This idea is used to find an algorithm for the linear predictor and interpolator of a periodically correlated process in the time domain.

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Dominik Szynal Aleksander Weron

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© 1984 Springer-Verlag

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Pourahmadi, M., Salehi, H. (1984). On subordination and linear transformation of harmonizable and periodically correlated processes. In: Szynal, D., Weron, A. (eds) Probability Theory on Vector Spaces III. Lecture Notes in Mathematics, vol 1080. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0099797

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  • DOI: https://doi.org/10.1007/BFb0099797

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-13388-9

  • Online ISBN: 978-3-540-38939-2

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