Hierarchical Bayesian inference for concurrent model fitting and comparison for group studies
Fig 13
Using HBI for making inference on empirical datasets.
A) HBI has been applied to a dataset of the two-step Markov decision task. The model space consisted of the hybrid, the model-based (MB) and the model-free (MF) models. Protected exceedance probabilities (PXP), model frequencies and estimated parameters of the winning model (the hybrid) are plotted. The error-bars are obtained by applying the corresponding transformation function on the hierarchical errors and, therefore, are not necessarily symmetric.