Mathematical Population Genetics : I. Theoretical Introduction

By W. Ewens. 2004

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Wilcoxon-Mann-Whitney or t-test? On assumptions for hypothesis tests and multiple interpretations of decision rules (2010, background): “This interpretation may seem obvious, but unfortunately, according to Ewens (2004), p. 348, the theory related to tests of genetic neutrality is often applied “without any substantial assessment of whether [the assumptions] are reasonable for the case at hand”.”
The formal darwinism project in outline (2014, background): “It is these models that should tell biologists whether ‘fitness-maximisation’ is a well-founded principle, and the resounding answer has been ‘no’ (Ewens 2004).”
Nonequilibrium physics in biology (2019, methodology): “Some models on multi-locus evolution were suggested with certain limitations (Ewens, 2004; Rice, 2004; 56 Svirezhev and Passekov, 1990).”
Random walks and diffusion on networks (2016, background): “ve also been applied in various domains, ranging from locomotion and foraging of animals [9{12], the dynamics of neuronal ring [13, 14] and decisionmaking in the brain [15, 16] to population genetics [17], polymer chains [18, 19], descriptions of nancial markets [20, 21], evolution of research inter”
Functional Analysis for Probability and Stochastic Processes: An Introduction (2005, methodology): “This result may be used to derive many classic formulae for sampling distributions in population genetics (see [39]) and in particular the famous Ewens sampling formula (see [69]).”