Approximate Bayesian computational methods to estimate the strength of divergent selection in population genomics models
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Statistical estimation of parameters in large models of evolutionary processes is often too computationally inefficient to pursue using exact model likelihoods, even with single-nucleotide polymorphism (SNP) data, which offers a way to reduce the size of genet... ...
