Rare Event Simulation using Monte Carlo Methods

ISBN 10: 0470772697 / ISBN 13: 9780470772690

Published by Wiley, 2009

About this Item

Text block firm and clean, binding unblemished, boards straight, without highlights or underlining. Well packaged and promptly shipped from California. Partnered with Friends of the Library since 2010.

Seller Inventory # BAY_17_SH_010841

Bibliographic Details

• Title: Rare Event Simulation using Monte Carlo Methods
• Publisher: Wiley
• Publication Date: 2009
• Language: English
• ISBN 10: 0470772697
• ISBN 13: 9780470772690
• Binding: Hardcover
• Condition: Like New

About this title

Synopsis

Rare Event Simulation

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.

About the Author

Gerardo Rubino, Research Director, the Institute of Computer Science and Random Systems Research (INRIA) INRIA Rennes - Bretagne Atlantique Research Centre Campus universitaire de Beaulieu.

Bruno Tuffin, Research Associate, the INRIA IRISA/INRIA.