English

Genealogies and inference for populations with highly skewed offspring distributions

Probability 2021-07-22 v1 Populations and Evolution

Abstract

We review recent progress in the understanding of the role of multiple- and simultaneous multiple merger coalescents as models for the genealogy in idealised and real populations with exceptional reproductive behaviour. In particular, we discuss models with `skewed offspring distribution' (or under other non-classical evolutionary forces) which lead in the single locus haploid case to multiple merger coalescents, and in the multi-locus diploid case to simultaneous multiple merger coalescents. Further, we discuss inference methods under the infinitely-many sites model which allow both model selection and estimation of model parameters under these coalescents.

Keywords

Cite

@article{arxiv.1912.07977,
  title  = {Genealogies and inference for populations with highly skewed offspring distributions},
  author = {Matthias Birkner and Jochen Blath},
  journal= {arXiv preprint arXiv:1912.07977},
  year   = {2021}
}

Comments

This text will appear as a chapter in the proceedings volume of DFG SPP Priority Programme 1590 Probabilistic Structures in Evolution