Discussion of "A Gibbs sampler for a class of random convex polytopes"
Computation
2021-04-08 v1 Methodology
Abstract
An exciting new algorithmic breakthrough has been advanced for how to carry out inferences in a Dempster-Shafer (DS) formulation of a categorical data generating model. The developed sampling mechanism, which draws on theory for directed graphs, is a clever and remarkable achievement, as this has been an open problem for many decades. In this discussion, I comment on important contributions, central questions, and prevailing matters of the article.
Keywords
Cite
@article{arxiv.2104.02717,
title = {Discussion of "A Gibbs sampler for a class of random convex polytopes"},
author = {Jonathan P Williams},
journal= {arXiv preprint arXiv:2104.02717},
year = {2021}
}
Comments
8 pages