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Periodically Correlated Solutions to a Class of Stochastic Difference Equations

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Part of the book series: Progress in Systems and Control Theory ((PSCT,volume 23))

Abstract

The class of the periodically correlated processes sets up one of the possible frameworks for description and modeling of time series having pseudo-periodic behaviour. The mean and the autocovariance functions of the processes from this class are periodic. Many of the concepts of the stationary theory admit generalization to the periodic case. There is a duality between the multivariate stationary processes and the periodically correlated processes which makes the investigation of these two classes theoretically equivalent. A survey on these questions (mainly from an algorithmic point of view) and a lot of references may be found in Boshnakov [Bo].

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References

  1. G. N. Boshnakov. Periodically correlated sequences: Some properties and recursions. Research Report 1, Division of Quality Technology and Statistics, Luleo University, Sweden, Mar 1994.

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  2. P.J. Brockwell and R.A. Davis. Time series: theory and methods Springer Series in Statistics. Springer, second edition, 1991.

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  3. R.H. Jones and W.M. Brelsford. Time series with periodic structure. Biometrika 54 (1967), 403–408.

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  4. H. Lütkepohl and E.O. Maschke. Bemerkung zur Lösung der YuleWalker-Gleihungen. Metrika, 35/5 (1988), 287–289.

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  5. M. Pagano. On periodic and multiple autoregression. Ann. Statist., 6 (1978), 1310–1317.

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© 1997 Springer Science+Business Media New York

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Boshnakov, G.N. (1997). Periodically Correlated Solutions to a Class of Stochastic Difference Equations. In: Stochastic Differential and Difference Equations. Progress in Systems and Control Theory, vol 23. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4612-1980-4_1

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  • DOI: https://doi.org/10.1007/978-1-4612-1980-4_1

  • Publisher Name: Birkhäuser, Boston, MA

  • Print ISBN: 978-1-4612-7365-3

  • Online ISBN: 978-1-4612-1980-4

  • eBook Packages: Springer Book Archive

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