Journal of Applied Probability · 2008 · 12 citations · 8 references
Nonnegative Random VariablesEngineeringIntegrable ProbabilityAsymptotic Tail ProbabilitiesProbability TheoryStochastic GeometryPoisson BoundaryMathematical StatisticTail IndependenceSubexponential TailsStatisticsFree Probability
In this paper we study the asymptotic tail probabilities of sums of subexponential, nonnegative random variables, which are dependent according to certain general structures with tail independence. The results show that the subexponentiality of the summands eliminates the impact of the dependence on the tail behavior of the sums.
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E. L. Lehmann · The Annals of Mathematical Statistics · 1966 · 1.5K citations · Full text
Dependence Measures for Extreme Value Analyses
Stuart Coles, Janet E. Heffernan, Jonathan A. Tawn · Extremes · 1999 · 780 citations