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Table 1 Characteristics of the prior and obtained posterior distributions.

From: ABCtoolbox: a versatile toolkit for approximate Bayesian computations

Parameter

Prior

Mode

HPDI50c

HPDI90c

N

U [10, 500]

73.89

[32.12, 125.49]

[10.00, 238.53]

σ N

U [10, 200]

166.58

[126.48, 188.54]

[59.65, 200.00]

N A a

10U [3,6.5]

86,000

[46100, 153400]

[17800, 300000]

β a

10U [-1,1]

0.25

[0.16, 0.80]

[0.10, 2.80]

Nm a

10U [-1.5,1]

0.16

[0.10, 0.23]

[0.05, 0.35]

Nm males a

10U [-1.5,1]

1.11

[0.56, 1.91]

[0.26, 3.92]

T DIV b

U [40,000, 80,000]

18,600

[16600, 21800]

[16000, 28100]

μ DNA × 108

U [10-8, 5*10-7]

8.37

[6.29, 11.14]

[3.19, 14.78]

μ STR × 104

U [10-5, 5*10-4]

1.33

[1.09, 1.61]

[0.52, 2.39]

α

U 8.00 12.00

9.05

[8.60, 10.33]

[8.14, 11.52]

  1. aThe posterior distributions of these parameters were estimated on a logarithmic scale. The reported posterior characteristics were then transformed onto the natural scale.
  2. b Whereas the prior of the divergence time T DIV is expressed in generations, its posterior is expressed here in years for convenience, assuming 2.5 generations per year [26, 28]
  3. c The Highest Posterior Density Interval HPDI is chosen as the continuous interval of parameter values with highest posterior density.