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Asymptotics and Bounds for Multivariate Gaussian Tails
Authors:Enkelejd?Hashorva  author-information"  >  author-information__contact u-icon-before"  >  mailto:enkelejd.hashorva@stat.unibe.ch,enkelejd.hashorva@Allianz-Suisse.ch"   title="  enkelejd.hashorva@stat.unibe.ch,enkelejd.hashorva@Allianz-Suisse.ch"   itemprop="  email"   data-track="  click"   data-track-action="  Email author"   data-track-label="  "  >Email author
Affiliation:(1) Department of Statistics, University of Bern, Sidlerstrasse 5, 3012 Bern, Switzerland
Abstract:Let {Xn, n ge 1} be a sequence of centered Gaussian random vectors in $${mathbb R}^{d}$$ , d ge 2. In this paper we obtain asymptotic expansions (n rarr infin) of the tail probability P{Xn >tn} with tn epsiv$${mathbb R}^{d}$$ a threshold with at least one component tending to infinity. Upper and lower bounds for this tail probability and asymptotics of discrete boundary crossings of Brownian Bridge are further discussed.
Keywords:Tail asymptotics  Gaussian random sequences  Discrete boundary crossing  Brownian bridge  Quadratic programming
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