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

Contributor(s):

Material type: Text

TextSeries: Lecture notes series (National University of Singapore. Institute for Mathematical Sciences) ; v. 7.Publication details: Singapore ; Hackensack, NJ : World Scientific, ©2005.Description: 1 online resource (xviii, 220 pages) : illustrationsContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9812564276
9789812564276
9812700919
9789812700919
1281881139
9781281881137
9786611881139
6611881131

Subject(s): Genre/Form:

Additional physical formats: Print version:: Markov chain Monte Carlo.DDC classification:

530.13 22

LOC classification:

QC174.85.M64 M37 2005

Other classification:

31.80

Online resources:

Click here to access online

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.

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Includes bibliographical references and index.

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.

English.

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