Inferring Fitness in Finite Populations with Moran-like dynamics

Publication date: 19 March 2013

Abstract: Biological fitness is not an observable quantity and must be inferred from population dynamics. Bayesian inference applied to the Moran process and variants yields a robust inference method that can infer fitness in populations evolving via a Moran dynamic and generalizations. Information about fitness is derived solely from birth-events in birth-death and death-birth processes in which selection acts proportionally to fitness, which allows the method to be applied to populations on a network where the network itself may be changing in time. Populations may also be allowed to change size while still allowing estimates for fitness to be inferred.

Has companion code repository: https://github.com/marcharper/mpsim

Mathematics Subject Classification ID

Evolutionary games (91A22)

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