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Coalescents with Simultaneous Multiple Collisions
Open accessAbstract
We study a family of coalescent processes that undergo ``simultaneous multiple collisions,'' meaning that many clusters of particles can merge into a single cluster at one time, and many such mergers can occur simultaneously. This family of processes, which we obtain from simple assumptions about the rates of different types of mergers, essentially coincides with a family of processes that Mohle and Sagitov obtain as a limit of scaled ancestral processes in a population model with exchangeable family sizes. We characterize the possible merger rates in terms of a single measure, show how these coalescents can be constructed from a Poisson process, and discuss some basic properties of these processes. This work generalizes some work of Pitman, who provides similar analysis for a family of coalescent processes in which many clusters can coalesce into a single cluster, but almost surely no two such mergers occur simultaneously.
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Cited by
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Metadata
- Authors
- Schweinsberg, J.
- Venue
- Electronic Journal of Probability
- Publisher
- Institute of Mathematical Statistics
- Published
- 2000-01-01
- Volume
- 5
- Issue
- none
- Pages
- 1-50
- ISSN
- 1083-6489 (ISSN-L)
- OpenAlex
- W2093012110
- Cited by
- 198
- References
- 0
- FWCI
- 6.63
- Type
- journal article
- Language
- en
- Open access
- gold
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- Schweinsberg, J. (2000). Coalescents with Simultaneous Multiple Collisions. Electronic Journal of Probability. https://doi.org/10.1214/ejp.v5-68
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.