Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1152636 | Statistics & Probability Letters | 2014 | 7 Pages |
Abstract
Gibbs samplers derived under different parametrizations of the target density can have radically different rates of convergence. In this article, we specify conditions under which reparametrization leaves the convergence rate of a Gibbs chain unchanged. An example illustrates how these results can be exploited in convergence rate analyses.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Jorge Carlos Román, James P. Hobert, Brett Presnell,