Markov Chain Monte Carlo Methods for Bayesian Analysis
journal contributionposted on 01.10.2005, 00:00 by Joseph B. Kadane, Brian Diggs, Christopher R. Genovese, Shing-Te Li, Robert SwendsenRobert Swendsen
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.