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Title Markov chain Monte Carlo : innovations and applications / edited by W.S. Kendall, F. Liang, J.-S. Wang.

Publication Info. Singapore ; Hackensack, NJ : World Scientific, [2005]
©2005

Item Status

Description 1 online resource (xviii, 220 pages) : illustrations.
text file
Series Lecture notes series, Institute for Mathematical Sciences, National University of Singapore ; vol. 7
Lecture notes series (National University of Singapore. Institute for Mathematical Sciences) ; v. 7.
Bibliography Includes bibliographical references and index.
Contents CONTENTS; Foreword; Preface; Glossary; Introduction to Markov Chain Monte Carlo Simulations and Their Statistical Analysis B.A. Berg; An Introduction to Monte Carlo Methods in Statistical Physics D.P. Landau; Notes on Perfect Simulation W.S. Kendall; Sequential Monte Carlo Methods and Their Applications R. Chen; MCMC in the Analysis of Genetic Data on Pedigrees E.A. Thompson; Index.
Summary Markov Chain Monte Carlo (MCMC) originated in statistical physics, but has spilled over into various application areas, leading to a corresponding variety of techniques and methods. That variety stimulates new ideas and developments from many different places, and there is much to be gained from cross-fertilization. This book presents five expository essays by leaders in the field, drawing from perspectives in physics, statistics and genetics, and showing how different aspects of MCMC come to the fore in different contexts. The essays derive from tutorial lectures at an interdisciplinary progr.
Local Note eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America
Subject Monte Carlo method.
Monte Carlo method.
Bayesian statistical decision theory.
Bayesian statistical decision theory.
Markov processes.
Markov processes.
Genre/Form Electronic books.
Added Author Kendall, W. S.
Liang, F. (Faming), 1970-
Wang, J.-S. (Jian-Sheng), 1960-
Other Form: Print version: Markov chain Monte Carlo. Singapore ; Hackensack, NJ : World Scientific, ©2005 (DLC) 2006299138
ISBN 9812564276
9789812564276
9812700919 (electronic book)
9789812700919 (electronic book)
1281881139
9781281881137
Standard No. 9789812564276