Error Rates and Improved Algorithms for Rare Event Simulation with Heavy Weibull Tails
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DOI: 10.1007/s11009-013-9371-6
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- Asmussen, S. & Binswanger, K., 1997. "Simulation of Ruin Probabilities for Subexponential Claims," ASTIN Bulletin, Cambridge University Press, vol. 27(2), pages 297-318, November.
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- Søren Asmussen & Jaakko Lehtomaa, 2017. "Distinguishing Log-Concavity from Heavy Tails," Risks, MDPI, vol. 5(1), pages 1-14, February.
- O. J. Boxma & E. J. Cahen & D. Koops & M. Mandjes, 2019. "Linear Stochastic Fluid Networks: Rare-Event Simulation and Markov Modulation," Methodology and Computing in Applied Probability, Springer, vol. 21(1), pages 125-153, March.
- Hansjörg Albrecher & Martin Bladt & Eleni Vatamidou, 2021. "Efficient Simulation of Ruin Probabilities When Claims are Mixtures of Heavy and Light Tails," Methodology and Computing in Applied Probability, Springer, vol. 23(4), pages 1237-1255, December.
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Keywords
Complexity; Conditional Monte Carlo; Control variates; Lognormal distribution; M/G/1 queue; Pollaczeck–Khinchine formula; Rare event; Regular variation; Ruin theory; Second order subexponentiality; Subexponential distribution; Vanishing relative error; Weibull distribution;All these keywords.
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