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- Lagerås, Andreas Nordvall
(author)
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A population model for $\Lambda$-coalescents with neutral mutations
- 2007
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In: Electronic Communications in Probability. - 1083-589X. ; 12, s. 9-20
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Journal article (peer-reviewed)abstract
- Bertoin and Le Gall (2003) introduced a certain probability measure valued Markov process that describes the evolution of a population, such that a sample from this population would exhibit a genealogy given by the so-called $\Lambda$-coalescent, or coalescent with multiple collisions, introduced independently by Pitman (1999) and Sagitov (1999). We show how this process can be extended to the case where lineages can experience mutations. Regenerative compositions enter naturally into this model, which is somewhat surprising, considering a negative result by Möhle (2007).
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| 2. |
- Nordvall Lagerås, Andreas, 1981-
(author)
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Markov Chains, Renewal, Branching and Coalescent Processes : Four Topics in Probability Theory
- 2007
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Doctoral thesis (other academic/artistic)abstract
- This thesis consists of four papers.In paper 1, we prove central limit theorems for Markov chains under (local) contraction conditions. As a corollary we obtain a central limit theorem for Markov chains associated with iterated function systems with contractive maps and place-dependent Dini-continuous probabilities.In paper 2, properties of inverse subordinators are investigated, in particular similarities with renewal processes. The main tool is a theorem on processes that are both renewal and Cox processes.In paper 3, distributional properties of supercritical and especially immortal branching processes are derived. The marginal distributions of immortal branching processes are found to be compound geometric.In paper 4, a description of a dynamic population model is presented, such that samples from the population have genealogies as given by a Lambda-coalescent with mutations. Depending on whether the sample is grouped according to litters or families, the sampling distribution is either regenerative or non-regenerative.
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