2010
DOI: 10.1007/s00440-010-0332-5
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Global divergence of spatial coalescents

Abstract: We study several fundamental properties of a class of stochastic processes called spatial -coalescents. In these models, a number of particles perform independent random walks on some underlying graph G. In addition, particles on the same vertex merge randomly according to a given coalescing mechanism. A remarkable property of mean-field coalescent processes is that they may come down from infinity, meaning that, starting with an infinite number of particles, only a finite number remains after any positive amo… Show more

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Cited by 13 publications
(16 citation statements)
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“…Our second lemma is an induction scheme which is inspired by an argument in [11] for the fact that coalescing Brownian particles come down from infinity. See also [2] where a similar argument is used. Lemma 6.5.…”
Section: Characterizationmentioning
confidence: 99%
“…Our second lemma is an induction scheme which is inspired by an argument in [11] for the fact that coalescing Brownian particles come down from infinity. See also [2] where a similar argument is used. Lemma 6.5.…”
Section: Characterizationmentioning
confidence: 99%
“…The main goal of the present paper is to study the corresponding large deviations results. To the best of our knowledge, except for Angel et al (2012), cf. Remark 2.6, results in this direction are not present in the literature.…”
Section: Introductionmentioning
confidence: 99%
“…The figure on the left shows the rate function I from Corollary 2.4. The figure on the right is a comparison of I with the lower bound obtained fromAngel et al (2012).Remark 2.6 (The rate function I and comparison withAngel et al (2012)). Although the main goal ofAngel et al (2012) was the analysis of spatial Λ-coalescents, they also provide some large deviations bounds on Kingman's coalescent.…”
mentioning
confidence: 99%
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“…It constitutes the basis of genealogical models, of statistical tests of the neutral evolution hypothesis [4] as well as of many simulation tools [5][7]. Besides application in population genetics, coalescent models and their various generalizations became an object of study in their own right in probability, graph theory and combinatorics [8][12].…”
Section: Introductionmentioning
confidence: 99%