One dimensional martingale rearrangement couplings
Benjamin Jourdain, William Margheriti

TL;DR
This paper presents a direct construction method for martingale rearrangement couplings under certain assumptions, advancing the understanding of their stability and providing a new approach compared to previous methods.
Contribution
It introduces a general construction of martingale rearrangement couplings under the barycentre dispersion assumption, avoiding complex limiting procedures used previously.
Findings
Provides a direct construction method for martingale rearrangements.
Shows stability of the inverse transform martingale coupling in adapted Wasserstein distance.
Extends the class of couplings close to Hoeffding-Fréchet coupling.
Abstract
We are interested in martingale rearrangement couplings. As introduced by Wiesel [37] in order to prove the stability of Martingale Optimal Transport problems, these are projections in adapted Wasserstein distance of couplings between two probability measures on the real line in the convex order onto the set of martingale couplings between these two marginals. In reason of the lack of relative compactness of the set of couplings with given marginals for the adapted Wasserstein topology, the existence of such a projection is not clear at all. Under a barycentre dispersion assumption on the original coupling which is in particular satisfied by the Hoeffding-Fr\'echet or comonotone coupling, Wiesel gives a clear algorithmic construction of a martingale rearrangement when the marginals are finitely supported and then gets rid of the finite support assumption by relying on a rather messy…
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
TopicsTopological and Geometric Data Analysis · Advanced Neuroimaging Techniques and Applications · Medical Imaging Techniques and Applications
