Discussion of `A Gibbs sampler for a class of random convex polytopes'
Persi Diaconis, Guanyang Wang

TL;DR
This paper discusses a Gibbs sampling method tailored for a specific class of random convex polytopes, contributing to the statistical sampling literature.
Contribution
It provides a detailed discussion and analysis of a Gibbs sampler designed for sampling from a class of random convex polytopes, expanding the understanding of such methods.
Findings
Enhanced understanding of Gibbs sampling for convex polytopes
Discussion of theoretical properties and potential applications
Clarification of the sampler's efficiency and limitations
Abstract
This is a contribution for the discussion on "A Gibbs sampler for a class of random convex polytopes" by Pierre E. Jacob, Ruobin Gong, Paul T. Edlefsen and Arthur P. Dempster to appear in the Journal of American Statistical Association.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPoint processes and geometric inequalities · Bayesian Methods and Mixture Models · Markov Chains and Monte Carlo Methods
