Date of Original Version
Proceedings of the 9th 'Aha Huliko'a Hawaiian Winter Workshop, 1997, pp 40-41.
Abstract or Table of Contents
This paper reviews the way statisticians use Markov Chain Monte Carlo (MCMC) methods. These techniques have made it possible to attack problems that would previously have been intractable. The application of MCMC methods has grown tremendously in recent years as this potential has been recognized. The impact on statistical practice, particularly on Bayesian computation, has been profound.