Hierarchical Bayesian inference for concurrent model fitting and comparison for group studies
Fig 9
Performance of the HBI in the two-step Markov decision task.
30, 10 and 10 artificial subjects have been generated using the hybrid, the model-based (MB) and the model-free (MF) models, respectively. A) Model selection by HBI using protected exceedance probabilities (PXP). B) Model frequencies estimated by the HBI. C) Model selection performance (at 50%) of NHI, HPE, and HBI. D) Error in estimating the critical weight parameter of the hybrid model at the individual level. HBI shows less error than other methods in all simulations. In all plots, error-bars are standard errors of the mean obtained across 20 simulations.