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Linear Processes

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Part of the book series: Mathématiques et Applications ((MATHAPPLIC,volume 80))

Abstract

We consider stationary sequences generated through independent identically distributed \((\xi _n)_{n\in \mathbb {Z}}\). A reference is Brockwell and Davis (Time series: theory and methods. Springer, New York, 1991). Such models are natural in signal theory since they appear through linear filtering of a white noise. The usual setting is that \((\xi _n)_{n\in \mathbb {Z}}\) is only a \(\mathbb {L}^2 \)-stationary white noise sequence and not an independent identically distributed sequence.

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Correspondence to Paul Doukhan .

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Doukhan, P. (2018). Linear Processes. In: Stochastic Models for Time Series. Mathématiques et Applications, vol 80. Springer, Cham. https://doi.org/10.1007/978-3-319-76938-7_6

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