This paper surveys efficient techniques for estimating, via simulation, the probabilities of
certain rare events in queueing and reliability models. The rare events of interest are long …

In this chapter we review some of the recent developments for efficient estimation of rare-
events, most of which involve application of importance sampling techniques to achieve …

NALYSIS Page 1 SIMULATION NALYSIS Fourth Edition AVERILL M. LAW И С Û HAW ■ H » LL
f NTERNA TI О NAL EDITION Page 2 CONTENTS List of Symbols xv Preface xvii Chapter 1 Basic …

The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …

Sampling-based computational methods have become a fundamental part of the numerical
toolset of practitioners and researchers across an enormous number of different applied …

Using computational and mathematical modeling, this study explores the tension between
too little and too much structure that is shaped by the core tradeoff between efficiency and …

The Monte Carlo approach has proved to be a valuable and flexible computational tool in
modern finance. This paper discusses some of the recent applications of the Monte Carlo …

Summary Markov chain Monte Carlo (MCMC) methods provide consistent approximations of
integrals as the number of iterations goes to∞. MCMC estimators are generally biased after …

Power grids, flexible manufacturing, cellular communications: interconnectedness has
consequences. This remarkable book gives the tools and philosophy you need to build …

Applied Stochastic Processes and Control for Jump-Diffusions: Modeling, Analysis and
Computation : Back Matter Page 1 page 403 i i i i Bibliography [1] ML ABELL AND JP …