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Asymptotic Behavior of Point Processes of Exceeding the High Levels of Gaussian Stationary Sequence

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Abstract

The paper studies the asymptotic behavior of point processes of exits of a Gaussian stationary sequence beyond a level tending to infinity more slowly than in the Poisson limit theorem for the number of exits. Convergence in variation of such point processes to a marked Poisson process is proved. The results of Yu.V. Prokhorov on the best approximation of the Bernoulli distribution by a mixture of Gaussian and Poisson distributions are applied. A.N. Kolmogorov proposed this problem in the early 1950s.

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REFERENCES

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ACKNOWLEDGMENTS

We thank A.V. Bulinskii, M.Ya. Kel’bert, and S.A. Molchanov for fruitful discussions.

Funding

The work is partially supported by the Institute of System Analysis of the Russian Academy of Sciences and International Laboratory for Stochastic Analysis and Its Applications of the HSE University.

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Correspondence to V. I. Piterbarg.

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Translated by E. Oborin

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Piterbarg, V.I. Asymptotic Behavior of Point Processes of Exceeding the High Levels of Gaussian Stationary Sequence. Moscow Univ. Math. Bull. 78, 291–297 (2023). https://doi.org/10.3103/S0027132223060050

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