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- W2950676620 abstract "The purpose of this article is to study some asymptotic properties of the Lambda-Wright-Fisher process with selection. This process represents the frequency of a disadvantaged allele. The resampling mechanism is governed by a finite measure Lambda on [0,1] and the selection by a parameter alpha. When the measure Lambda verifies int_0^1-log(1-x)x^{-2} Lambda(dx)<infty, some particular behaviours in the frequency of the allele can occur. The selection coefficient alpha may be large enough to compensate the random genetic drift. In other words, for certain selection pressure, the disadvantaged allele will vanish asymptotically. This phenomenon cannot occur in the classical Wright-Fisher diffusion. We study the dual process of the Lambda-Wright-Fisher process with selection and prove this result through martingale arguments." @default.
- W2950676620 created "2019-06-27" @default.
- W2950676620 creator A5060170442 @default.
- W2950676620 date "2013-05-30" @default.
- W2950676620 modified "2023-09-27" @default.
- W2950676620 title "The impact of selection in the Lambda-Wright-Fisher model" @default.
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- W2950676620 hasPublicationYear "2013" @default.
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