2020
DOI: 10.1214/20-ejp523
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Rescaling limits of the spatial Lambda-Fleming-Viot process with selection

Abstract: We consider the spatial Λ-Fleming-Viot process model for frequencies of genetic types in a population living in R d , with two types of individuals (0 and 1) and natural selection favouring individuals of type 1. We first prove that the model is well-defined and provide a measure-valued dual process encoding the locations of the "potential ancestors" of a sample taken from such a population, in the same spirit as the dual process for the SLFV without natural selection [7]. We then consider two cases, one in wh… Show more

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Cited by 15 publications
(38 citation statements)
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“…. , χ j 0 and, just as in ETHERIDGE, VÉBER and YU (2020, [15]) Section 1.2, this duality must be defined 'weakly', that is by integrating against a suitable test function ψ(χ 1 0 , . .…”
Section: Definition 42 (Ancestral Selection Graph)mentioning
confidence: 99%
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“…. , χ j 0 and, just as in ETHERIDGE, VÉBER and YU (2020, [15]) Section 1.2, this duality must be defined 'weakly', that is by integrating against a suitable test function ψ(χ 1 0 , . .…”
Section: Definition 42 (Ancestral Selection Graph)mentioning
confidence: 99%
“…We suppose that the population, which is distributed across R d , is subdivided into two genetic types {a, A}. As explained in detail in ETHERIDGE, VÉBER and YU (2020, [15]), which in turn borrows results from VÉBER and WAKOLBINGER (2015, [49]), formally, at each time the state of the population is described by a measure M t on R d × K, where K = {a, A}, whose first marginal is Lebesgue measure on R d . At any fixed time there is a density w(t,…”
Section: Spatial Lambda-fleming-viot Process With Fluctuating Selectionmentioning
confidence: 99%
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