An ABC interpretation of the multiple auxiliary variable method
Computation
2016-04-28 v1 Machine Learning
Abstract
We show that the auxiliary variable method (M{\o}ller et al., 2006; Murray et al., 2006) for inference of Markov random fields can be viewed as an approximate Bayesian computation method for likelihood estimation.
Keywords
Cite
@article{arxiv.1604.08102,
title = {An ABC interpretation of the multiple auxiliary variable method},
author = {Dennis Prangle and Richard G. Everitt},
journal= {arXiv preprint arXiv:1604.08102},
year = {2016}
}