EXTREMES OF γ-REFLECTED GAUSSIAN PROCESSES WITH STATIONARY INCREMENTS

被引:15
|
作者
Debicki, Krzysztof [1 ]
Hashorva, Enkelejd [2 ]
Liu, Peng [1 ,2 ]
机构
[1] Univ Wroclaw, Inst Math, Pl Grunwaldzki 2-4, PL-50384 Wroclaw, Poland
[2] Univ Lausanne, UNIL Dorigny, Dept Actuarial Sci, CH-1015 Lausanne, Switzerland
基金
瑞士国家科学基金会;
关键词
gamma-reflected Gaussian process; uniform double-sum method; first passage time; last passage time; fractional brownian motion; gaussian integrated process; pickands constant; piterbarg constant; piterbarg inequality; RUIN PROBABILITY; TAIL ASYMPTOTICS; CONSTANTS; SUPREMUM; MAXIMUM; BOUNDS; TIMES;
D O I
10.1051/ps/2017019
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
For a given centered Gaussian process with stationary increments X(t), t >= 0 and c > 0, let W-gamma.(t) = X(t) - ct - gamma inf(0 <= s <= t) (X(s) - cs), t >= 0 denote the gamma-reflected process, where gamma is an element of(0, 1). This process is important for both queueing and risk theory. In this contribution we are concerned with the asymptotics, as u -> infinity, of P ( sup(0 <= t <= T) W-gamma(t) > u), T is an element of(0,infinity]. Moreover, we investigate the approximations of first and last passage times for given large threshold u. We apply our findings to the cases with X being the multiplex fractional Brownian motion and the Gaussian integrated process. As a by-product we derive an extension of Piterbarg inequality for threshold-dependent random fields.
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页码:495 / 535
页数:41
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