A Modified Gibbs Sampler on General State Spaces
Computation
2013-08-28 v1
Abstract
We present a modified Gibbs sampler for general state spaces. We establish that this modification can lead to substantial gains in statistical efficiency while maintaining the overall quality of convergence. We illustrate our results in two examples including a toy Normal-Normal model and a Bayesian version of the random effects model.
Cite
@article{arxiv.1308.5717,
title = {A Modified Gibbs Sampler on General State Spaces},
author = {Alicia A. Johnson and James M. Flegal},
journal= {arXiv preprint arXiv:1308.5717},
year = {2013}
}