Advances in Applied Probability · 1996 · 116 citations · 16 references
Natural SciencesInsuranceMathematicsInsurance EconomicsProbability TheoryStochastic ProcessesLimit TheoremsMarkov ProcessesPoisson ProcessesProbability DistributionsRenewal ProcessesContinuous Random VariablesHeavy-tailed Limit TheoremsLimit LawsPoisson Limit TheoremsProbabilistic Analysis Of AlgorithmsStochastic Difference Equations
We investigate the behaviour of P ( R ≧ r ) and P ( R ≦ − r ) as r → ∞for the random variable where is an independent, identically distributed sequence with P (− 1 ≦ M ≦ 1) = 1. Random variables of this type appear in insurance mathematics, as solutions of stochastic difference equations, in the analysis of probabilistic algorithms and elsewhere. Exponential and Poissonian tail behaviour can arise.
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