<p>Our most probable model (bolded) included the composite variable of population age and population connectivity. The second most probable model includes composite variables of population age and connectivity, and population size and connectivity.</p><p>Posterior probabilities of all 16 models.</p
<p>Estimates of the posterior model probabilities when using data from (A) the attenuated strain an...
<p>Posterior probability of each scenario and the corresponding 95% confidence interval based on log...
<p>Posterior inclusion probabilities for environmental, intervention, socio-economic and demographic...
<p>Bold numbers indicate the most likely model (in Occam’s window) for each subject.</p
<p>Parameter estimates are consistent with theoretical expectations (e.g. older and larger populatio...
<p>Posterior probabilities (Ln <i>P</i>(D)) from six parallel calculations for each hypothetic numbe...
Posterior probability distribution of the probability of observation in each sub-population model. I...
<p>Probability of posterior model probability larger than .75 of snapshot hybrid and snapshot naïve....
<p>The logistic regression used to compute posterior probabilities considered the 30,000 simulated d...
<p>The 12-month posterior estimates of survival characterizing the data set by most- to least-freque...
<p>The logistic regression used to compute posterior probabilities considered the 40 000 simulated d...
<p>Posterior model probabilities for the top 11 models that had 90% of the posterior support across ...
<p>Model (A), scenario (B), and logistic regression of posterior probabilities for scenario 10 (C) f...
<p>The 13 MMN models were compared by their posterior probability given the trial-wise MMN amplitude...
<p>Proportions of how often the posterior model probability is larger than .75 for the study-pairs i...
<p>Estimates of the posterior model probabilities when using data from (A) the attenuated strain an...
<p>Posterior probability of each scenario and the corresponding 95% confidence interval based on log...
<p>Posterior inclusion probabilities for environmental, intervention, socio-economic and demographic...
<p>Bold numbers indicate the most likely model (in Occam’s window) for each subject.</p
<p>Parameter estimates are consistent with theoretical expectations (e.g. older and larger populatio...
<p>Posterior probabilities (Ln <i>P</i>(D)) from six parallel calculations for each hypothetic numbe...
Posterior probability distribution of the probability of observation in each sub-population model. I...
<p>Probability of posterior model probability larger than .75 of snapshot hybrid and snapshot naïve....
<p>The logistic regression used to compute posterior probabilities considered the 30,000 simulated d...
<p>The 12-month posterior estimates of survival characterizing the data set by most- to least-freque...
<p>The logistic regression used to compute posterior probabilities considered the 40 000 simulated d...
<p>Posterior model probabilities for the top 11 models that had 90% of the posterior support across ...
<p>Model (A), scenario (B), and logistic regression of posterior probabilities for scenario 10 (C) f...
<p>The 13 MMN models were compared by their posterior probability given the trial-wise MMN amplitude...
<p>Proportions of how often the posterior model probability is larger than .75 for the study-pairs i...
<p>Estimates of the posterior model probabilities when using data from (A) the attenuated strain an...
<p>Posterior probability of each scenario and the corresponding 95% confidence interval based on log...
<p>Posterior inclusion probabilities for environmental, intervention, socio-economic and demographic...
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