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Extremes of threshold-dependent Gaussian processes

Probability 2017-01-20 v1 Statistics Theory Statistics Theory

Abstract

In this contribution we are concerned with the asymptotic behaviour as uu\to \infty of P{supt[0,T]Xu(t)>u}\mathbb{P}\{\sup_{t\in [0,T]} X_u(t)> u\}, where Xu(t),t[0,T],u>0X_u(t),t\in [0,T],u>0 is a family of centered Gaussian processes with continuous trajectories. A key application of our findings concerns P{supt[0,T](X(t)+g(t))>u}\mathbb{P}\{\sup_{t\in [0,T]} (X(t)+ g(t))> u\} as uu\to\infty, for XX a centered Gaussian process and gg some measurable trend function. Further applications include the approximation of both the ruin time and the ruin probability of the Brownian motion risk model with constant force of interest.

Keywords

Cite

@article{arxiv.1701.05387,
  title  = {Extremes of threshold-dependent Gaussian processes},
  author = {L. Bai and K. Debicki and E. Hashorva and L. Ji},
  journal= {arXiv preprint arXiv:1701.05387},
  year   = {2017}
}

Comments

28 pages

R2 v1 2026-06-22T17:54:04.676Z