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Abstract

Let \(k\in \mathbb {N}\), \(T\subseteq \mathbb {R}\). A function

$$\displaystyle{x:T\rightarrow \mathbb {R}^{k}\text{, }t\rightarrow x_{t}}$$

or, equivalently, a set of indexed elements of \(\mathbb {R}^{k}\),

$$\displaystyle\left \{ x_{t}|x_{t}\in \mathbb {R}^{k},t\in T\right \}$$

is called an observed time series. We also write

$$\displaystyle{x_{t}\text{ (}t\in T\text{) or }\left ( x_{t}\right ) _{t\in T}.}$$

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References

  • Cantelli, F. P. (1933). Sulla determinazione empirica delle leggi di probabilità. Giornale dell’Istituto Italiano degli Attuari, 4, 421–424.

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  • van der Vaart, A. W. (1998). Asymptotic statistics. Cambridge: Cambridge University Press.

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Beran, J. (2017). Introduction. In: Mathematical Foundations of Time Series Analysis. Springer, Cham. https://doi.org/10.1007/978-3-319-74380-6_1

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