Probabilities after hypothesis exploration using Bayesian multimodel inference.</p
Using the model described in the main text, we generate synthetic data for given model parameters. U...
<p>Family-level inference (perceptual model set): Posterior model probability or and model exceedan...
Mean of the posterior probabilities of belonging to each latent class in the multivariate model.</p
Model term posterior probabilities after hypothesis exploration, TKO high-probability 3-subtype topo...
Model term posterior probabilities after hypothesis exploration, RPM high-probability 3-subtype topo...
Probabilities of both maximum likelihood estimates for the mean use of the novel preposition variant...
<p>Results of Bayesian model selection (control condition): Posterior model probability or and mode...
Probabilistic Monte Carlo simulation results for base case and scenario analyses.</p
<p>Partitions and models for Maximum Likelihood (ML) and Bayesian inference based on PartitionFinder...
<p>Results from the multi-model inference approach for human dataset analysis.</p
<p>A Bayesian network calculates the probability of complications for a patient.</p
<p>Posterior probability of the selected scenarios and confidence in scenario choice in the ABC anal...
This paper addresses the problem that Bayesian statistical inference cannot accommodate theory chang...
<p>Model parameters and probability distributions in the probabilistic sensitivity analyses.</p
Data for "Prediction error, prior certainty, or belief updating: P3a component function in temporal ...
Using the model described in the main text, we generate synthetic data for given model parameters. U...
<p>Family-level inference (perceptual model set): Posterior model probability or and model exceedan...
Mean of the posterior probabilities of belonging to each latent class in the multivariate model.</p
Model term posterior probabilities after hypothesis exploration, TKO high-probability 3-subtype topo...
Model term posterior probabilities after hypothesis exploration, RPM high-probability 3-subtype topo...
Probabilities of both maximum likelihood estimates for the mean use of the novel preposition variant...
<p>Results of Bayesian model selection (control condition): Posterior model probability or and mode...
Probabilistic Monte Carlo simulation results for base case and scenario analyses.</p
<p>Partitions and models for Maximum Likelihood (ML) and Bayesian inference based on PartitionFinder...
<p>Results from the multi-model inference approach for human dataset analysis.</p
<p>A Bayesian network calculates the probability of complications for a patient.</p
<p>Posterior probability of the selected scenarios and confidence in scenario choice in the ABC anal...
This paper addresses the problem that Bayesian statistical inference cannot accommodate theory chang...
<p>Model parameters and probability distributions in the probabilistic sensitivity analyses.</p
Data for "Prediction error, prior certainty, or belief updating: P3a component function in temporal ...
Using the model described in the main text, we generate synthetic data for given model parameters. U...
<p>Family-level inference (perceptual model set): Posterior model probability or and model exceedan...
Mean of the posterior probabilities of belonging to each latent class in the multivariate model.</p
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