Error Rates and Improved Algorithms for Rare Event Simulation with Heavy Weibull Tails

Verfasser / Beitragende:
[Søren Asmussen, Dominik Kortschak]
Ort, Verlag, Jahr:
2015
Enthalten in:
Methodology and Computing in Applied Probability, 17/2(2015-06-01), 441-461
Format:
Artikel (online)
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024 7 0 |a 10.1007/s11009-013-9371-6  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s11009-013-9371-6 
245 0 0 |a Error Rates and Improved Algorithms for Rare Event Simulation with Heavy Weibull Tails  |h [Elektronische Daten]  |c [Søren Asmussen, Dominik Kortschak] 
520 3 |a Let Y 1,...,Y n be i.i.d. subexponential and S n  = Y 1 + ⋯ + Y n . Asmussen and Kroese (Adv Appl Probab 38:545-558, 2006) suggested a simulation estimator for evaluating ${\mathbb P}(S_n>x)$ , combining an exchangeability argument with conditional Monte Carlo. The estimator was later shown by Hartinger and Kortschak (Bl DGVFM 30:363-377, 2009) to have vanishing relative error. For the Weibull and related cases, we calculate the exact error rate and suggest improved estimators. These improvements can be seen as control variate estimators, but are rather motivated by second order subexponential theory which is also at the core of the technical proofs. 
540 |a Springer Science+Business Media New York, 2013 
690 7 |a Complexity  |2 nationallicence 
690 7 |a Conditional Monte Carlo  |2 nationallicence 
690 7 |a Control variates  |2 nationallicence 
690 7 |a Lognormal distribution  |2 nationallicence 
690 7 |a M/G/1 queue  |2 nationallicence 
690 7 |a Pollaczeck-Khinchine formula  |2 nationallicence 
690 7 |a Rare event  |2 nationallicence 
690 7 |a Regular variation  |2 nationallicence 
690 7 |a Ruin theory  |2 nationallicence 
690 7 |a Second order subexponentiality  |2 nationallicence 
690 7 |a Subexponential distribution  |2 nationallicence 
690 7 |a Vanishing relative error  |2 nationallicence 
690 7 |a Weibull distribution  |2 nationallicence 
700 1 |a Asmussen  |D Søren  |u Department of Mathematics, Aarhus University, Ny Munkegade, 8000, Aarhus C, Denmark  |4 aut 
700 1 |a Kortschak  |D Dominik  |u Laboratoire SAF, Institut de Science Financière et d'Assurances, Université Lyon 1, 50 Avenue Tony Garnier, 69007, Lyon, France  |4 aut 
773 0 |t Methodology and Computing in Applied Probability  |d Springer US; http://www.springer-ny.com  |g 17/2(2015-06-01), 441-461  |x 1387-5841  |q 17:2<441  |1 2015  |2 17  |o 11009 
856 4 0 |u https://doi.org/10.1007/s11009-013-9371-6  |q text/html  |z Onlinezugriff via DOI 
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900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s11009-013-9371-6  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Asmussen  |D Søren  |u Department of Mathematics, Aarhus University, Ny Munkegade, 8000, Aarhus C, Denmark  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Kortschak  |D Dominik  |u Laboratoire SAF, Institut de Science Financière et d'Assurances, Université Lyon 1, 50 Avenue Tony Garnier, 69007, Lyon, France  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Methodology and Computing in Applied Probability  |d Springer US; http://www.springer-ny.com  |g 17/2(2015-06-01), 441-461  |x 1387-5841  |q 17:2<441  |1 2015  |2 17  |o 11009