Table 6

Estimation of divergence time T for model 3 in cases where the prior distribution does not encompass the true parameter value

True T

With transformation

Without transformation

Without regression


Mean

95% interval

Mean

95% interval

Mean

95% interval


0.60

0.4994

[0.4954, 0.5000]

0.6226

[0.0977, 1.1443]

0.4607

[0.3945, 0.4991]

0.65

0.5000

[0.5000, 0.5000]

0.5952

[0.5618, 0.6297]

0.4633

[0.4039, 0.4991]

0.70

0.5000

[0.5000, 0.5000]

0.7502

[0.5228, 0.9915]

0.4669

[0.4158, 0.4994]

0.75

0.5000

[0.5000, 0.5000]

0.5447

[0.4450, 0.6692]

0.4703

[0.4216, 0.4995]

0.80

0.5000

[0.5000, 0.5000]

1.2404

[0.4929, 1.8773]

0.4729

[0.4275, 0.4994]

0.85

0.5000

[0.5000, 0.5000]

0.7836

[0.5244, 0.9533]

0.4731

[0.4308, 0.4994]

0.90

0.5000

[0.5000, 0.5000]

0.6255

[0.5325, 0.7240]

0.4738

[0.4312, 0.4994]

0.95

0.5000

[0.5000, 0.5000]

0.6322

[0.4716, 0.7902]

0.4749

[0.4376, 0.4994]

1.00

0.5000

[0.5000, 0.5000]

0.6887

[0.5749, 0.8131]

0.4754

[0.4358, 0.4991]


The means and the 95% credible intervals of the posterior samples are given for the ABC estimate using regression and transformation, using regression but without transformation, and without using regression (i.e., only using rejection). See text for a detailed explanation of the different versions of the ABC approach

Li and Jakobsson BMC Genetics 2012 13:22   doi:10.1186/1471-2156-13-22

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