Some limit results on supremum of Shepp statistics for fractional Brownian motion
- ISSN号:1005-1031
- 期刊名称:《高校应用数学学报:英文版(B辑)》
- 时间:0
- 分类:O211.4[理学—概率论与数理统计;理学—数学] O153.4[理学—数学;理学—基础数学]
- 作者机构:[1]School of Mathematical Sciences, Zhejiang University, Hangzhou 310027, China., [2]College of Mathematics, Physics and Information Engineering, Jiaxing University, Jiaxing 314001,China., [3]School of Mathematics and Physics, Suzhou University of Science and Technology, Suzhou 215009China.
- 相关基金:Research supported by National Science Foundation of Chiua(11501250), Natural Science Foundation of Zhejiang Province of China(LQ14A010012, LY15A010019), Postdoctoral Research Program of Zhejiang Province, Natural Science Foundation of Jiangsu Higher Education Institution of China (14KJB110023) and Research Foundation of SUST;The authors are most grateful to the referees for the thorough reading and valuable corrections, which greatly improve the original results of the paper.
关键词:
几乎处处中心极限定理, BROWNIAN运动, 分数, HURST参数, 统计, 随机指标, 渐近分布, sup, Extremes, Shepp statistics, fractional Brownian motion, exact asymptotic, almost sure limit theorem
中文摘要:
Define the incremental fractional Brownian field ZH(τ,s)=BH(s+τ)-BH(s),where BH(s) is a standard fractional Brownian motion with Hurst parameter H ∈(0,1).In this paper,we first derive an exact asymptotic of distribution of the maximum MH(Tu)=supτ∈[0,1],s∈[0,xTu]ZH(τ,s),which holds uniformly for x ∈[A,B]with A,B two positive constants.We apply the findings to analyse the tail asymptotic and limit theorem of MH(τ) with a random index τ.In the end,we also prove an ahnost sure limit theorem for the maximum M1/2(T) with non-random index T.
英文摘要:
Define the incremental fractional Brownian field ZH(τ, s) = BH(s+τ) -BH(s),where BH(s) is a standard fractional Brownian motion with Hurst parameter H ∈ (0, 1). Inthis paper, we first derive an exact asymptotic of distribution of the maximum MH(Tu) =supτ∈[0,1],s∈[0,xτu] ZH(τ, s), which holds uniformly for x ∈ [A, B] with A, B two positive con-stants. We apply the findings to analyse the tail asymptotic and limit theorem of MH (τ) witha random index τ. In the end, we also prove an almost sure limit theorem for the maximum M1/2(τ) with non-random index T.