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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wadman, Wander Crommelin, Daan Frank, Jason |
| Copyright Year | 2014 |
| Description | Author affiliation: CWI Amsterdam, Science Park 123, 1098 XG, THE NETHERLANDS (Wadman, Wander; Crommelin, Daan; Frank, Jason) |
| Abstract | A key challenge for an efficient splitting technique is defining the importance function. If the rare event set consists of multiple separated subsets this challenge becomes bigger since the most likely path to the rare event set may be very different from the most likely path to an intermediate level. We propose to mitigate this problem of path deviation by estimating the subset probabilities separately using a modified splitting technique. We compare the proposed separated splitting technique with a standard splitting technique by estimating the probability of entering either of two separated intervals on the real line. The squared relative error of the estimator is shown to be significantly higher when using standard splitting than when using separated splitting. We show that this difference increases if the rare event probability becomes smaller, illustrating the advantage of the separated splitting technique. |
| Starting Page | 522 |
| Ending Page | 532 |
| File Size | 180570 |
| Page Count | 11 |
| File Format | |
| e-ISBN | 9781479974863 |
| DOI | 10.1109/WSC.2014.7019917 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-12-07 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computational modeling Standards Reliability Monte Carlo methods Stochastic processes Estimation Power grids |
| Content Type | Text |
| Resource Type | Article |
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