Approximation of the maximum of storage process with fractional Brownian motion as input

被引:1
作者
Xu, Zhengchun [1 ]
Tan, Zhongquan [1 ]
Tang, Linjun [1 ]
机构
[1] Jiaxing Univ, Coll Math Phys & Informat Engn, Jiaxing 314001, Peoples R China
基金
中国博士后科学基金; 美国国家科学基金会;
关键词
Extreme values; Storage process; Fractional Brownian motion; Discrete time process; MAX-DISCRETIZATION THEOREM; STATIONARY-PROCESSES; CONTINUOUS-TIME; EXTREMES; GRIDS;
D O I
10.1016/j.spl.2018.05.015
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In this paper, the asymptotic relation between the maximum of the storage process and the maximum of the process sampled at discrete time points is studied. It is shown that these two maxima are asymptotically independent or dependent when the grids of the discrete time points are sufficiently sparse or the so-called Pickands grids. The results complete a gap in Husler and Piterbarg (2004) which showed that the two maxima are asymptotically coincident when the grids of the discrete time points are sufficiently dense. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:147 / 159
页数:13
相关论文
共 50 条
[31]   Convergence of the Weierstrass-Mandelbrot process to fractional Brownian motion [J].
Pipiras, V ;
Taqqu, MS .
FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY, 2000, 8 (04) :369-384
[32]   OPTIMAL CONTROL OF A STOCHASTIC PROCESSING SYSTEM DRIVEN BY A FRACTIONAL BROWNIAN MOTION INPUT [J].
Ghosh, Arka P. ;
Roitershtein, Alexander ;
Weerasinghe, Ananda .
ADVANCES IN APPLIED PROBABILITY, 2010, 42 (01) :183-209
[33]   An Actuarial Approach to the Minimum or Maximum Option Pricing in Fractional Brownian Motion Environment [J].
Xue, Hong ;
Li, Qiaoyan .
2010 2ND IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND FINANCIAL ENGINEERING (ICIFE), 2010, :216-219
[34]   Stochastic process-based degradation modeling and RUL prediction: from Brownian motion to fractional Brownian motion [J].
Hanwen Zhang ;
Maoyin Chen ;
Jun Shang ;
Chunjie Yang ;
Youxian Sun .
Science China Information Sciences, 2021, 64
[35]   Stochastic process-based degradation modeling and RUL prediction: from Brownian motion to fractional Brownian motion [J].
Zhang, Hanwen ;
Chen, Maoyin ;
Shang, Jun ;
Yang, Chunjie ;
Sun, Youxian .
SCIENCE CHINA-INFORMATION SCIENCES, 2021, 64 (07)
[36]   Asymptotic error distribution for the Riemann approximation of integrals driven by fractional Brownian motion [J].
Garino, Valentin ;
Nourdin, Ivan ;
Vallois, Pierre .
ELECTRONIC JOURNAL OF PROBABILITY, 2022, 27
[37]   Approximation of solutions of SDEs driven by a fractional Brownian motion, under pathwise uniqueness [J].
El Barrimi, Oussama ;
Ouknine, Youssef .
MODERN STOCHASTICS-THEORY AND APPLICATIONS, 2016, 3 (04) :303-313
[38]   Strong approximation of fractional Brownian motion by moving averages of simple random walks [J].
Szabados, T .
STOCHASTIC PROCESSES AND THEIR APPLICATIONS, 2001, 92 (01) :31-60
[39]   Optimal pointwise approximation of stochastic differential equations driven by fractional Brownian motion [J].
Neuenkirch, Andreas .
STOCHASTIC PROCESSES AND THEIR APPLICATIONS, 2008, 118 (12) :2294-2333
[40]   Frozen path approximation for turbulent diffusion and fractional Brownian motion in random flows [J].
Fannjiang, A ;
Komorowski, T .
SIAM JOURNAL ON APPLIED MATHEMATICS, 2003, 63 (06) :2042-2062