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Subexponential Distributions — Large Deviations with Applications to Insurance and Queueing Models
Authors:Aleksandras Baltr&#;nas  Claudia Klüppelberg
Institution:Institute of Mathematics and Informatics, Lithuania;Center for Mathematical Sciences, Munich University of Technology, Germany
Abstract:This paper presents a fine large‐deviations theory for heavy‐tailed distributions whose tails are heavier than exp(?√t and have finite second moment. Asymptotics for first passage times are derived. The results are applied to estimate the finite time ruin probabilities in insurance as well as the busy period in a GI/G/1 queueing model.
Keywords:Baxter—Spitzer identity  busy period  finite time ruin probability  first passage times  large deviations  insurance  queueing theory  subexponential distributions  transient random walk
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