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Defining Probability Measures for Time Series

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Mathematical Foundations of Time Series Analysis
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Abstract

Recall:

$$\displaystyle\text{Time series model}=\left ( \varOmega ,\mathcal {F},P\right )$$
$$\displaystyle\varOmega =\left ( \mathbb {R}^{k}\right ) ^{T}=\text{space of functions} \ X:T\rightarrow \mathbb {R}^{k}\text{ (}k\in \mathbb {N},T\subseteq \mathbb {R}\text{)}$$
$$\displaystyle P=\text{probability distribution on}\ \left ( \varOmega ,\mathcal {F}\right )$$

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Beran, J. (2017). Defining Probability Measures for Time Series. In: Mathematical Foundations of Time Series Analysis. Springer, Cham. https://doi.org/10.1007/978-3-319-74380-6_3

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