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



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Titolo: Markov chain Monte Carlo : innovations and applications / / edited by W.S. Kendall, F. Liang, J.-S. Wang Visualizza cluster
Pubblicazione: Singapore ; ; Hackensack, NJ, : World Scientific, c2005
Edizione: 1st ed.
Descrizione fisica: 1 online resource (239 p.)
Disciplina: 519.233
Soggetto topico: Monte Carlo method
Bayesian statistical decision theory
Markov processes
Markov-processen
Monte Carlo-methode
Simulatiemodellen
Classificazione: 31.80
Altri autori: KendallW. S  
LiangF <1970-> (Faming)  
WangJ.-S <1960-> (Jian-Sheng)  
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: 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
Sommario/riassunto: 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
Titolo autorizzato: Markov chain Monte Carlo  Visualizza cluster
ISBN: 1-281-88113-9
9786611881139
981-270-091-9
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910814602303321
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Serie: Lecture notes series (National University of Singapore. Institute for Mathematical Sciences) ; ; v. 7.