Journal article
Hypothesis Tests of Convergence in Markov Chain Monte Carlo
Abstract
Deciding when a Markov chain has reached its stationary distribution is a major problem in applications of Markov Chain Monte Carlo methods. Many methods have been proposed ranging from simple graphical methods to complicated numerical methods. Most such methods require a lot of user interaction with the chain which can be very tedious and time-consuming for a slowly mixing chain. This article describes a system to reduce the burden on the user …
Authors
Canty AJ
Journal
Journal of Computational and Graphical Statistics, Vol. 8, No. 1, pp. 93–108
Publisher
Taylor & Francis
Publication Date
March 1999
DOI
10.1080/10618600.1999.10474803
ISSN
1061-8600