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The Law of the Iterated Logarithm over a Stationary Gaussian Sequence of Random Vectors

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Abstract

Let {X j } j = 1 be a stationary Gaussian sequence of random vectors with mean zero. We give sufficient conditions for the compact law of the iterate logarithm of

$$(n{\text{ 2 log log }}n{\text{)}}^{{\text{ - 1/2}}} \sum\limits_{j{\text{ }} = {\text{ }}1}^n {(G(X_j ) - E[{\text{ }}G} (X_j )])$$

where G is a real function defined on ℝd with finite second moment. Our result builds on Ho,(6) who proved an upper-half of the law of iterated logarithm for a sequence of random variables.

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Arcones, M.A. The Law of the Iterated Logarithm over a Stationary Gaussian Sequence of Random Vectors. Journal of Theoretical Probability 12, 615–641 (1999). https://doi.org/10.1023/A:1021667529846

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