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## Details

Genre/Form: | Electronic books |
---|---|

Additional Physical Format: | Print version: |

Material Type: | Document, Internet resource |

Document Type: | Internet Resource, Computer File |

All Authors / Contributors: |
James Antonio Bucklew |

ISBN: | 9781475740783 1475740786 0387200789 9780387200781 |

OCLC Number: | 851702826 |

Description: | 1 online resource (xi, 262 pages). |

Contents: | Random Number Generation -- Stochastic Models -- Large Deviation Theory -- Importance Sampling -- The Large Deviation Theory of Importance Sampling Estimators -- The Large Deviation Theory of Conditional Importance Sampling Estimators -- The Large Deviations of Bias Point Selection -- Chernoff's Bound and Asymptotic Expansions -- Gaussian Systems -- Universal Simulation Distributions -- Rare Event Simulation for Level Crossing and Queueing Models -- Blind Simulation -- The (Over- Under) Biasing Problem in Importance Sampling -- Tools and Techniques for Importance Sampling. |

Series Title: | Springer series in statistics. |

Responsibility: | by James Antonio Bucklew. |

### Abstract:

## Reviews

*Editorial reviews*

Publisher Synopsis

From the reviews:"On the whole, Introduction to Rare Event Simulation succeeds at its stated goal, providing a good overview of importance sampling from the perspective of large deviations." Journal of the American Statistical Association, September 2005"The main purpose of this book is to present a unified theory of rare event simulation and the variance reduction technique known as importance sampling method devised from the point of view of probabilistic theory of large deviations. ... The methodology of importance sampling estimation based on large deviation theory is exposed in a clear setting, concentrating on the main ideas and outlining the variety of applications, from telecommunications to queueing systems." (Silvia Curteanu, Zentralblatt MATH, Vol. 1057(8), 2005) "This book deals with a special topic in simulation, the estimation of small probabilities via importance sampling using large deviations theory to design and/or analyze the change of measure. ... serve as a bridge to the quite technical research literature and a help to get started with more challenging examples." (S. Asmussen, Short Book Reviews, Vol. 24(2), 2004)"The principal method described in this book used to attack the rare event simulation problem is importance sampling, which is a variance reduction technique. ... This Introduction to Rare Event Simulation is in the first place not a book on the theory of rare events as developed in extreme value theory via point processes ... . Instead, it focuses on the mathematics of importance sampling estimators. As such it is mathematically rigorous and very enjoyable." (Michael Falk, Metrika, 2006)"The central theme of the book is to compute the probability of a so-called rare event. ... Overall the book is pleasant to read. ... The book seems to be well suited to use as a text for a course. ... My general impression of the book is ... predominantly positive and I would definitely recommend this book to be used as course material or as an easily accessible introduction to rare event simulation for anyone with a general knowledge of probability theory." (Henrik Hult, Extremes, Vol. 7, 2004)"This is a very interesting monograph that attempts to present a unified theory of rare events simulation. Two basic tools used are importance sampling and the theory of large deviations. ... I recommend the book to everybody who is interested in rare events and/or Monte Carlo simulation." (EMS Newsletter, December 2006) Read more...

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