Comments on: A Gibbs sampler for a class of random convex polytopes

TL;DR

This paper critically examines the strengths and weaknesses of simplex and Dirichlet Dempster-Shafer inference methods in testing independence across multiple resolutions.

Contribution

It provides a comparative analysis of these inference methods, highlighting their relative advantages and limitations in the context of independence testing.

Findings

Dirichlet Dempster-Shafer inference offers flexible modeling.

Simplex inference has computational advantages.

Both methods have specific contexts where they outperform each other.

Abstract

In this comment we discuss relative strengths and weaknesses of simplex and Dirichlet Dempster-Shafer inference as applied to multi-resolution tests of independence.