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The limit theorems for maxima of stationary Gaussian processes with random Index

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Abstract

Let {X(t), t ≥ 0} be a standard (zero-mean, unit-variance) stationary Gaussian process with correlation function r(·) and continuous sample paths. In this paper, we consider the maxima M(T) = max{X(t), ∀t ∈ [0, T]} with random index T T , where T T /T converges to a non-degenerate distribution or to a positive random variable in probability, and show that the limit distribution of M(T T ) exists under some additional conditions related to the correlation function r(·).

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Correspondence to Zhong Quan Tan.

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Supported by National Science Foundation of China (Grant No. 11326175) and Research Start-up Foundation of Jiaxing University (Grant No. 70512021)

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Tan, Z.Q. The limit theorems for maxima of stationary Gaussian processes with random Index. Acta. Math. Sin.-English Ser. 30, 1021–1032 (2014). https://doi.org/10.1007/s10114-014-2809-0

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  • DOI: https://doi.org/10.1007/s10114-014-2809-0

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