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Limit theorems for supremum of Gaussian processes over a random interval

Limit theorems for supremum of Gaussian processes over a random interval
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摘要 Let {X(t), t ≥ 0} be a centered stationary Gaussian process with correlation r(t)such that 1-r(t) is asymptotic to a regularly varying function. With T being a nonnegative random variable and independent of X(t), the exact asymptotics of P(sup_(t∈[0,T])X(t) > x) is considered, as x → ∞. Let {X(t), t ≥ 0} be a centered stationary Gaussian process with correlation r(t)such that 1-r(t) is asymptotic to a regularly varying function. With T being a nonnegative random variable and independent of X(t), the exact asymptotics of P(sup_(t∈[0,T])X(t) > x) is considered, as x → ∞.
出处 《Applied Mathematics(A Journal of Chinese Universities)》 SCIE CSCD 2018年第3期335-343,共9页 高校应用数学学报(英文版)(B辑)
基金 Supported by the Scientific Research Fund of Sichuan Provincial Education Department(12ZB082) the Scientific research cultivation project of Sichuan University of Science&Engineering(2013PY07) the Scientific Research Fund of Shanghai University of Finance and Economics(2017110080) the Opening Project of Sichuan Province University Key Laboratory of Bridge Non-destruction Detecting and Engineering Computing(2018QZJ01)
关键词 stationary Gaussian process supremum of a process regularly varying functions random intervals stationary Gaussian process supremum of a process regularly varying functions random intervals
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