Markov Chain Monte Carlo: Innovations and Applications, Vol. 7

  • 4h 24m
  • F. Liang, J-S Wang (eds), W.S. Kendall
  • World Scientific Publishing Co
  • 2005

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.

In this Book

  • Introduction to Markov Chain Monte Carlo Simulations and their Statistical Analysis
  • An Introduction to Monte Carlo Methods in Statistical Physics
  • Notes on Perfect Simulation
  • Sequential Monte Carlo Methods And Their Applications
  • Mcmc in the Analysis of Genetic Data on Pedigrees