Table 1 

Characteristics of the prior and obtained posterior distributions. 

Parameter 
Prior 
Mode 
HPDI50^{c} 
HPDI90^{c} 


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} 
10^{U [3,6.5]} 
86,000 
[46100, 153400] 
[17800, 300000] 
β^{a} 
10^{U [1,1]} 
0.25 
[0.16, 0.80] 
[0.10, 2.80] 
Nm^{a} 
10^{U [1.5,1]} 
0.16 
[0.10, 0.23] 
[0.05, 0.35] 
Nm_{males}^{a} 
10^{U [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 }× 10^{8} 
U [10^{8}, 5*10^{7}] 
8.37 
[6.29, 11.14] 
[3.19, 14.78] 
μ_{STR }× 10^{4} 
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] 


^{a}The posterior distributions of these parameters were estimated on a logarithmic scale. The reported posterior characteristics were then transformed onto the natural scale. ^{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] ^{c }The Highest Posterior Density Interval HPDI is chosen as the continuous interval of parameter values with highest posterior density. 

Wegmann et al. BMC Bioinformatics 2010 11:116 doi:10.1186/1471210511116 