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Diffusion models of temporally varying selection in population genetics

Published online by Cambridge University Press:  01 July 2016

Shoichiro Seno*
Affiliation:
Tokyo Institute of Technology
Tokuzo Shiga*
Affiliation:
Tokyo Institute of Technology
*
Postal address: Department of Applied Physics, Tokyo Institute of Technology, Oh-okayama, Meguro, Tokyo 152, Japan.
Postal address: Department of Applied Physics, Tokyo Institute of Technology, Oh-okayama, Meguro, Tokyo 152, Japan.

Abstract

We consider a diploid model of random selection. Assuming that the selective fitness is of the SAS–CFF type introduced by Gillespie, we obtain a diffusion approximation. We also discuss the existence of stationary distributions and recurrent properties.

Type
Research Article
Copyright
Copyright © Applied Probability Trust 1984 

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References

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