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Markov Chain Monte Carlo
Innovations And Applications
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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 program at the Institute for Mathematical Sciences, Singapore, which exploited the exciting ways in which MCMC spreads across different disciplines.
World Scientific; November 2005
239 pages; ISBN 9789812700919
Read online, or download in secure PDF format
239 pages; ISBN 9789812700919
Read online, or download in secure PDF format
Subject categories
- Academic > Mathematics > Probabilities. Mathematical statistics > Experimental design
- Academic > Mathematics > Probabilities. Mathematical statistics > Bayesian statistical decision theory
- Academic > Physics > Atomic physics > Quantum theory
- Academic > Physics > Atomic physics > Statistical mechanics
- Academic > Physics > Atomic physics > Monte Carlo method
- Academic > Mathematics > General
- Academic > Physics > Physics; Abstracts; Periodicals
- Academic > Physics > Physics; Early works to 1800
- Mathematics > Probability & Statistics
- Science > Physics
ISBNs
9789812564276
9789812700919
9812700919