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Extremes of Shepp statistics for the Wiener process
Authors:Dmitrii Zholud
Affiliation:1. Department of Mathematical Statistics, Chalmers University of Technology and G?teborg University, G?teborg, Sweden
Abstract:
Define $Y(t)=maxlimits_{0leq s leq 1} W(t!+!s)!-!W(t)$, where W(·) is a standard Wiener process. We study the maximum of Y up to time T: $M_T=maxlimits_{0leq t leq T} Y(t)$ and de termine an asymptotic expression for $mathbf{P}left(M_T>uright)$ when u→ ∞. Further we establish the limiting Gumbel distribution of M T when T→ ∞ and present the corresponding normalization sequence.
Keywords:Wiener process increments  Shepp statistics  High level excursions  Analysis of extreme values  Large deviations  Asymptotic behavior  Distribution tail  Gumbel law  Limit theorems  Weak theorems
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