<p>The distributions illustrated here have density bins of 1 wILI unit, which differs from those used in the manuscript for illustrative purposes only. Panel A shows the predictive distributions from three component models. Panel B shows scaled versions of the distributions from A, after being multiplied by model weights. In Panel C, the scaled distributions are literally stacked to create the final ensemble predictive distribution.</p
<p>Ordered distributions of accuracies of trained models grouped by learning technique (combined hig...
<p><i>α</i> is the occupancy probability before transformation to the probability scale using the lo...
In this paper, the technique of stacking, previously only used for supervised learning, is applied t...
Model stacking is an ensemble technique that involves training a model to combine the outputs of man...
Bayesian model averaging is flawed in the M-open setting in which the true data-generating process i...
Bayesian model averaging is flawed in the M-open setting in which the true data-generating process i...
<p>The conceptual scheme (A) and heat map of RMSE scores (B) for probabilistic combination of replic...
<p>The left panel shows the full model, and the right panel shows the same model expressed in compac...
The discussion suggests to couple the model selection methodology proposed in the main paper with a ...
Model predictions for participants choosing the predicted information compared to the alternative in...
The translation of an ensemble of model runs into a probability distribution is a common task in mod...
Main article included invited and contributed discussions: https://dx.doi.org/10.1214/17-BA1091 (Bay...
<p>Schematic visualization of ensemble data from which networks are inferred and subsequently aggreg...
<p>The more abstract a parameter, the higher it is in the graph. Deterministic variables have double...
<p>Three different views of the intermediate ensemble (10 randomly selected structures are superimpo...
<p>Ordered distributions of accuracies of trained models grouped by learning technique (combined hig...
<p><i>α</i> is the occupancy probability before transformation to the probability scale using the lo...
In this paper, the technique of stacking, previously only used for supervised learning, is applied t...
Model stacking is an ensemble technique that involves training a model to combine the outputs of man...
Bayesian model averaging is flawed in the M-open setting in which the true data-generating process i...
Bayesian model averaging is flawed in the M-open setting in which the true data-generating process i...
<p>The conceptual scheme (A) and heat map of RMSE scores (B) for probabilistic combination of replic...
<p>The left panel shows the full model, and the right panel shows the same model expressed in compac...
The discussion suggests to couple the model selection methodology proposed in the main paper with a ...
Model predictions for participants choosing the predicted information compared to the alternative in...
The translation of an ensemble of model runs into a probability distribution is a common task in mod...
Main article included invited and contributed discussions: https://dx.doi.org/10.1214/17-BA1091 (Bay...
<p>Schematic visualization of ensemble data from which networks are inferred and subsequently aggreg...
<p>The more abstract a parameter, the higher it is in the graph. Deterministic variables have double...
<p>Three different views of the intermediate ensemble (10 randomly selected structures are superimpo...
<p>Ordered distributions of accuracies of trained models grouped by learning technique (combined hig...
<p><i>α</i> is the occupancy probability before transformation to the probability scale using the lo...
In this paper, the technique of stacking, previously only used for supervised learning, is applied t...