Exchangeable coalescents, ultrametric spaces, nested interval-partitions: A unifying approach
F\'elix Foutel-Rodier, Amaury Lambert, Emmanuel Schertzer

TL;DR
This paper introduces a unifying framework for representing exchangeable coalescent processes and ultrametric spaces using nested interval-partitions, extending existing theories and providing new Markovian constructions.
Contribution
It generalizes the representation of exchangeable coalescents via nested interval-partitions and links these to ultrametric spaces, introducing the concept of $ ext{Lambda}$-combs and extending the Gromov-weak topology.
Findings
Any exchangeable coalescent can be represented by a nested interval-partition.
$ ext{Lambda}$-coalescents are characterized by a unique $ ext{Lambda}$-comb.
Ultrametric spaces can be approximated by nested interval-partitions in the Gromov-weak topology.
Abstract
Kingman (1978)'s representation theorem states that any exchangeable partition of can be represented as a paintbox based on a random mass-partition. Similarly, any exchangeable composition (i.e. ordered partition of ) can be represented as a paintbox based on an interval-partition (Gnedin 1997). Our first main result is that any exchangeable coalescent process (not necessarily Markovian) can be represented as a paintbox based on a random non-decreasing process valued in interval-partitions, called nested interval-partition, generalizing the notion of comb metric space introduced by Lambert & Uribe Bravo (2017) to represent compact ultrametric spaces. As a special case, we show that any -coalescent can be obtained from a paintbox based on a unique random nested interval partition called -comb, which is Markovian with explicit transitions. This…
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
TopicsData Management and Algorithms
