Fig 3. Posterior distribution of parameters from the rejection sampler.

We report pairwise scatterplots of the parameters μ _i, ν _e and the compound parameter ν _i + ν _t, since these two parameters only appear as a sum in all equations for the mean, variance and heritability. 10⁷ random sets of parameter values are sampled randomly from the uniform priors described by the ranges on the x and y axes. Around 1.9% of the randomly generated parameter combinations yield values for mean and variance of log spVL that are compatible with the acceptance criterion 4 < M̃ _C < 5, 0.3 < Ṽ _C < 0.8. The contour lines show the two-dimensional kernel density estimate of the posterior sample. The colours reflect the mean heritability of binned parameter combinations and are stacked such that points with lower heritability lie on top of points with higher heritability. The small plots to the top and right of the scatterplots show the posterior density estimate along a single parameter dimension, as well as the mean (black dot), and 50% (boxes) and 95% quantiles (lines) of heritabilities along those parameter dimensions. Most of the probability mass occurs at low values of μ _i and ν _e.