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The fundamentals of heavy-tails: properties, emergence, and identification.

, , and . SIGMETRICS, page 387-388. ACM, (2013)

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Extremal Dependencies and Rank Correlations in Power Law Networks., , and . Complex (2), volume 5 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 1642-1653. Springer, (2009)Fluid models for many-server Markovian queues in a changing environment., and . Oper. Res. Lett., 40 (6): 573-577 (2012)Reduced-load equivalence for Gaussian processes., , and . Oper. Res. Lett., 33 (5): 502-510 (2005)Preventing Large Sojourn Times Using SMART Scheduling., , and . Operations Research, 56 (1): 88-101 (2008)A new generation of applied probability textbooks.. Oper. Res. Lett., 33 (5): 544-550 (2005)Simultaneously Learning and Optimizing Using Controlled Variance Pricing., and . Manag. Sci., 60 (3): 770-783 (2014)Queue length asymptotics for the multiple-server queue with heavy-tailed Weibull service times., , , and . Queueing Syst. Theory Appl., 93 (3-4): 195-226 (2019)First-passage time asymptotics over moving boundaries for random walk bridges., , and . J. Appl. Probab., 55 (2): 627-651 (2018)Corrected phase-type approximations for the workload of the MAP/G/1 queue with heavy-tailed service times., , , and . SIGMETRICS Perform. Evaluation Rev., 41 (2): 53-55 (2013)Analyzing large frequency disruptions in power systems using large deviations theory., and . CoRR, (2020)