Rare event simulation using Monte Carlo methods /
In a probabilistic model, a rare event is an event with a very small probability of occurrence. The forecasting of rare events is a formidable task but is important in many areas. For instance a catastrophic failure in a transport system or in a nuclear power plant, the failure of an information pro...
| Other Authors: | , |
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| Format: | eBook |
| Language: | English |
| Language Notes: | English. |
| Published: |
Chichester, U.K. :
Wiley,
2009.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | In a probabilistic model, a rare event is an event with a very small probability of occurrence. The forecasting of rare events is a formidable task but is important in many areas. For instance a catastrophic failure in a transport system or in a nuclear power plant, the failure of an information processing system in a bank, or in the communication network of a group of banks, leading to financial losses. Being able to evaluate the probability of rare events is therefore a critical issue. Monte Carlo Methods, the simulation of corresponding models, are used to analyze rare events. This book sets out to present the mathematical tools available for the efficient simulation of rare events. Importance sampling and splitting are presented along with an exposition of how to apply these tools to a variety of fields ranging from performance and dependability evaluation of complex systems, typically in computer science or in telecommunications, to chemical reaction analysis in biology or particle transport in physics. Graduate students, researchers and practitioners who wish to learn and apply rare event simulation techniques will find this book beneficial. |
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| Physical Description: | 1 online resource (viii, 268 pages) : illustrations |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9780470745410 047074541X 1282123645 9781282123649 9786612123641 6612123648 |