The sample track (left) and the posterior distribution frequency graph (right) of each parameter under the Case weight matrix.</p
<p>The distribution of CT findings between the case (n = 43) and control (n = 43) group.</p
<p>Percentages of the sample assigned to each trajectory group and average posterior probability for...
<p>The posterior (black lines) and the marginal prior (grey line) distributions of catchabilities .<...
The sample track (left) and the posterior distribution frequency graph (right) of each parameter und...
Graph Matrix showing the distribution of TST results, height, and weight of the study population.</p
Posterior distributions of coefficients (left column), linear predictors (middle column) and predict...
Summary statistics for the posterior distribution of parameters in the detection model (Eq 1 and Eq ...
<p>The first row depicts the truly different samples (). The bottom row refers to the control sample...
<p>The marginal posterior distribution of each parameter for ten different patients.</p
Frequency and percentage of estimated edges at T0 and T1, and frequency and percentage of estimated ...
<p>Histograms of MCMC samples depicting the marginal posterior distributions for each of the populat...
Posterior estimates (mean, standard deviation and 95% credible interval) of the Parametrs .</p
A graph of model performance scores (precision, recall and F1) based on varying MLP depths.</p
Parameters estimated from the posterior distributions of models by naturalistic tasks outcomes.</p
<p>Posterior mean of the inferred lambda for each trait evaluated and reference population size.</p
<p>The distribution of CT findings between the case (n = 43) and control (n = 43) group.</p
<p>Percentages of the sample assigned to each trajectory group and average posterior probability for...
<p>The posterior (black lines) and the marginal prior (grey line) distributions of catchabilities .<...
The sample track (left) and the posterior distribution frequency graph (right) of each parameter und...
Graph Matrix showing the distribution of TST results, height, and weight of the study population.</p
Posterior distributions of coefficients (left column), linear predictors (middle column) and predict...
Summary statistics for the posterior distribution of parameters in the detection model (Eq 1 and Eq ...
<p>The first row depicts the truly different samples (). The bottom row refers to the control sample...
<p>The marginal posterior distribution of each parameter for ten different patients.</p
Frequency and percentage of estimated edges at T0 and T1, and frequency and percentage of estimated ...
<p>Histograms of MCMC samples depicting the marginal posterior distributions for each of the populat...
Posterior estimates (mean, standard deviation and 95% credible interval) of the Parametrs .</p
A graph of model performance scores (precision, recall and F1) based on varying MLP depths.</p
Parameters estimated from the posterior distributions of models by naturalistic tasks outcomes.</p
<p>Posterior mean of the inferred lambda for each trait evaluated and reference population size.</p
<p>The distribution of CT findings between the case (n = 43) and control (n = 43) group.</p
<p>Percentages of the sample assigned to each trajectory group and average posterior probability for...
<p>The posterior (black lines) and the marginal prior (grey line) distributions of catchabilities .<...
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