<p>Left: graph of linear regressions showing posterior probabilities of the scenarios on the Y axis and the number of simulations used to calculate it (1% of total simulations) on the X axis. Right: The plot for the best-supported scenario.</p
<p>Prior distributions are in gray, posterior distributions obtained by ABC-FFNN are in orange, thos...
<p>Posterior probabilities are given, with their confidence intervals and associated type I and type...
<p>The two left-side plots refer to the normality assumption while the two right-side plots refer to...
<p>Results shown include the posterior mean (and the 90% CI in the parentheses), the coefficient of ...
*<p>P(SC2) is the proportion of pseudo-observed simulated datasets using each competing scenario (SC...
Note. The circle indicates the median (quantile-based) posterior Bayesian estimates, the heavy line ...
The left-hand column shows results for cases where only 5 populations have been sampled, the center ...
<p><b>(A)</b> Graphical representation of the three models (SSV, SDN, NTR) and their associated para...
<p>Posterior probability P<sub>migration</sub> to support ongoing migration was estimated for a tota...
The left-hand column shows results for cases where only 5 populations have been sampled, the center ...
<p>For comparison, the ABC plots for the uniform distribution, <i>U = Uniform [0</i>,<i>m]</i>, wher...
<p>The four ellipses in each plot correspond to the covariances of four different estimates of the s...
Graph depicting the Bayesian network of 33 factors for the complete study sample (N = 23,865).</p
<p>Results shown include the posterior mean (and the 90% CI in the parentheses) and the coefficient ...
<p>In all panels, the upper insets show the best (left) and worst (right) regression results. The ve...
<p>Prior distributions are in gray, posterior distributions obtained by ABC-FFNN are in orange, thos...
<p>Posterior probabilities are given, with their confidence intervals and associated type I and type...
<p>The two left-side plots refer to the normality assumption while the two right-side plots refer to...
<p>Results shown include the posterior mean (and the 90% CI in the parentheses), the coefficient of ...
*<p>P(SC2) is the proportion of pseudo-observed simulated datasets using each competing scenario (SC...
Note. The circle indicates the median (quantile-based) posterior Bayesian estimates, the heavy line ...
The left-hand column shows results for cases where only 5 populations have been sampled, the center ...
<p><b>(A)</b> Graphical representation of the three models (SSV, SDN, NTR) and their associated para...
<p>Posterior probability P<sub>migration</sub> to support ongoing migration was estimated for a tota...
The left-hand column shows results for cases where only 5 populations have been sampled, the center ...
<p>For comparison, the ABC plots for the uniform distribution, <i>U = Uniform [0</i>,<i>m]</i>, wher...
<p>The four ellipses in each plot correspond to the covariances of four different estimates of the s...
Graph depicting the Bayesian network of 33 factors for the complete study sample (N = 23,865).</p
<p>Results shown include the posterior mean (and the 90% CI in the parentheses) and the coefficient ...
<p>In all panels, the upper insets show the best (left) and worst (right) regression results. The ve...
<p>Prior distributions are in gray, posterior distributions obtained by ABC-FFNN are in orange, thos...
<p>Posterior probabilities are given, with their confidence intervals and associated type I and type...
<p>The two left-side plots refer to the normality assumption while the two right-side plots refer to...