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Hypothesis Tests of Convergence in Markov Chain...
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

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