Table 4. The mode and 90% highest posterior density (in parentheses) of the posterior distributions for the Storz and Beaumont [67] models.
| Sample | BF | Scale | N 0 | N 1 | Time (T) |
| Historical-SSN | 10.9 | Exp | 154 (1–2160) | 1862 (454–7952) | 442 (96–25249) |
| Historical-SSN | 13.5 | Linear | 102 (1–1993) | 1922 (457–7838) | 1054 (109–61941) |
| Contemporary-SSN | 36.1 | Exp | 167 (23–838) | 1613 (383–7102) | 1693 (60–23307) |
| Contemporary-SSN | 65.2 | Linear | 139 (17–692) | 1405 (358–8143) | 3134 (160–73610) |
| Contemporary-NW | 41.1 | Exp | 129 (23–513) | 1698 (288–12302) | 2884 (162–37153) |
| Contemporary-NW | 45.5 | Linear | 128 (27–547) | 1640 (246–19639) | 8549 (373–353012) |
The Bayes factor (BF) indicates the strength of evidence for a population decline with values greater than 10 representing very strong support. N 0 and N 1 are the current and ancestral N e respectively. Time (T) represents the date of the change in population size from N 0 to N 1.