Comparison of sorting algorithms for summary statistic vector D
. Frequency histograms depicting sets of 100 ABC estimates of Ω given PODS simulated under simultaneous divergence (Ω = 0; Ψ = 1) using two different algorithms for ordering the taxon-pair elements of y within D
(panels A, C, and E by number of samples per taxon-pair; panels B, D, and F by the magnitude of the mean value of π
across loci). Results are presented for data sets that correspond to 5, 10 and 20 taxon-pairs. Each point estimate is the mode of 500 accepted points in total out of 1,500,000 simulated data sets using ABC with local linear regression.