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∂a∂i is a powerful tool for fitting population genetic models to the joint allele frequency spectrum (FS) using a diffusion approximation [ 23].
Using a diffusion approximation of the Wright-Fisher process and the corresponding probability density given in [ 32], we found that this quantity was equal to 0.105.
With these coalescent time estimates, we can approximate the magnitude of the average coefficient of selection on each mutational class using a diffusion approximation (Kiezun et al. 2013).
Based on these derivations, a model has been established to characterize the speckle contrast in the spatial frequency domain using a diffusion approximation to correlation transport.
Using a diffusion approximation that assumes no dominance and a constant population size, Maruyama (1974) showed that the expected mean allele age is symmetric for positive and negative selection coefficients of the same magnitude.
For example, previous work by Kim and Stephan (1999) analyzed a single locus under a constant selection coefficient, using a diffusion approximation, and two recent simulation studies employed forward simulations with loci parameterized by constant selection coefficients to obtain power estimates (Baldwin-Brown et al. 2014; Kofler and Schlotterer 2014).
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[Kimura (1981]) assumed general service time distribution function and used a diffusion approximation technique to determine the optimal policy.
In this regard, we compared SGD to the method by Golightly et al. [ 31], who used a diffusion approximation to calculate the transition density.
The first model under consideration (Martin et al. 2013) uses a diffusion approximation to model density-independent population dynamics in discrete or continuous time (Fig. 2A).
To study long-term survival of A1, we employ a diffusion approximation.
We use it to set up a diffusion approximation with a noise term accounting for finite-size effects on traveling wave solutions in Sect. 4.
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