Fields Institute Communications 2000; 228 pp; hardcover Volume: 26 ISBN10: 0821819925 ISBN13: 9780821819920 List Price: US$80 Member Price: US$64 Order Code: FIC/26
 This volume contains the proceedings of the Workshop on Monte Carlo Methods held at The Fields Institute for Research in Mathematical Sciences (Toronto, 1998). The workshop brought together researchers in physics, statistics, and probability. The papers in this volumeof the invited speakers and contributors to the poster sessionrepresent the interdisciplinary emphasis of the conference. Monte Carlo methods have been used intensively in many branches of scientific inquiry. Markov chain methods have been at the forefront of much of this work, serving as the basis of many numerical studies in statistical physics and related areas since the Metropolis algorithm was introduced in 1953. Statisticians and theoretical computer scientists have used these methods in recent years, working on different fundamental research questions, yet using similar Monte Carlo methodology. This volume focuses on Monte Carlo methods that appear to have wide applicability and emphasizes new methods, practical applications and theoretical analysis. It will be of interest to researchers and graduate students who study and/or use Monte Carlo methods in areas of probability, statistics, theoretical physics, or computer science. Titles in this series are copublished with the Fields Institute for Research in Mathematical Sciences (Toronto, Ontario, Canada). Readership Graduate students and researchers working in Monte Carlo methods in probability, statistics, theoretical physics, or computer science. Table of Contents  B. A. Berg  Introduction to multicanonical Monte Carlo simulations
 F. Bunea and J. Besag  MCMC in \(I \times J \times K\) contingency tables
 J. A. Fill, M. Machida, D. J. Murdoch, and J. S. Rosenthal  Extension of Fill's perfect rejection sampling algorithm to general chains (Extended abstract)
 K. Jansen  Taming zero modes in lattice QCD with the polynomial hybrid Monte Carlo algorithm
 A. D. Kennedy  Monte Carlo algorithms and nonlocal actions
 X.L. Meng  Towards a more general ProppWilson algorithm: Multistage backward coupling
 A. Mira and C. J. Geyer  On nonreversible Markov chains
 D. J. Murdoch  Exact sampling for Bayesian inference: Unbounded state spaces
 G. O. Roberts and J. S. Rosenthal  Recent progress on computable bounds and the simple slice sampler
 S. G. Whittington  MCMC methods in statistical mechanics: Avoiding quasiergodic problems
 D. B. Wilson  Layered multishift coupling for use in perfect sampling algorithms (with a primer on CFTP)
 H. Ljung  Introduction to semi Markov chain Monte Carlo
 A. R. Dabrowski, G. Lamothe, and D. R. McDonald  Accelerated simulation of ATM switching fabrics
 A. R. Runnalls  Some stratagems for the estimation of time series using the Metropolis method
 T. Vrbová  Monte Carlo study of adsorption of interacting selfavoiding walks
