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Joint asymptotic distribution of exceedances point process and partial sum of stationary Gaussian sequence

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Abstract

Let {X i } i=1 be a standardized stationary Gaussian sequence with covariance function r(n) = EX 1 X n+1, S n = Σ n i=1 X i , and \(\bar X_n = \tfrac{{S_n }} {n} \). And let N n be the point process formed by the exceedances of random level \((\tfrac{x} {{\sqrt {2\log n} }} + \sqrt {2\log n} - \tfrac{{\log (4\pi \log n)}} {{2\sqrt {2\log n} }})\sqrt {1 - r(n)} + \bar X_n \) by X 1,X 2,…, X n . Under some mild conditions, N n and S n are asymptotically independent, and N n converges weakly to a Poisson process on (0,1].

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Correspondence to Zhong-quan Tan.

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Supported by the Program for Excellent Talents in Chongqing Higher Education Institutions (120060-20600204).

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Tan, Zq., Peng, Zx. Joint asymptotic distribution of exceedances point process and partial sum of stationary Gaussian sequence. Appl. Math. J. Chin. Univ. 26, 319–326 (2011). https://doi.org/10.1007/s11766-011-2113-z

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