TY - JOUR
T1 - Maxima of stochastic processes driven by fractional Brownian motion
AU - Buchmann, Boris
AU - Klüppelberg, Claudia
PY - 2005/9
Y1 - 2005/9
N2 - We study stationary processes given as solutions to stochastic differential equations driven by fractional Brownian motion. This rich class includes the fractional Ornstein-Uhlenbeck process and those processes that can be obtained from it by state space transformations. An explicit formula in terms of Euler's Γ-function describes the asymptotic behaviour of the covariance function of the fractional Ornstein-Uhlenbeck process near zero, which, by an application of Berman's condition, guarantees that this process is in the maximum domain of attraction of the Gumbel distribution. Necessary and sufficient conditions on the state space transforms are stated to classify the maximum domain of attraction of solutions to stochastic differential equations driven by fractional Brownian motion.
AB - We study stationary processes given as solutions to stochastic differential equations driven by fractional Brownian motion. This rich class includes the fractional Ornstein-Uhlenbeck process and those processes that can be obtained from it by state space transformations. An explicit formula in terms of Euler's Γ-function describes the asymptotic behaviour of the covariance function of the fractional Ornstein-Uhlenbeck process near zero, which, by an application of Berman's condition, guarantees that this process is in the maximum domain of attraction of the Gumbel distribution. Necessary and sufficient conditions on the state space transforms are stated to classify the maximum domain of attraction of solutions to stochastic differential equations driven by fractional Brownian motion.
KW - Extreme-value theory
KW - Fractional Brownian motion
KW - Fractional Ornstein-Uhlenbeck process
KW - Fractional stochastic differential equation
KW - Long-range dependence
KW - Maximum domain of attraction
KW - Partial maximum
KW - State space transform
UR - http://www.scopus.com/inward/record.url?scp=27144534084&partnerID=8YFLogxK
U2 - 10.1239/aap/1127483745
DO - 10.1239/aap/1127483745
M3 - Article
SN - 0001-8678
VL - 37
SP - 743
EP - 764
JO - Advances in Applied Probability
JF - Advances in Applied Probability
IS - 3
ER -