Table 3 Summary of the results of Bayesian model selection (BMS) and Bayesian model averaging (BMA)
From: Impaired social brain network for processing dynamic facial expressions in autism spectrum disorders
Model | BMS: Posterior family | BMA: Mean (± SD ) number of selected | ||||
|---|---|---|---|---|---|---|
| Â | exceedance probabilities | models in the Occam's window | ||||
| Â | Control | ASD | Control | Â | ASD | Â |
1: Null Model | 0.00 | 0.01 | 0.0 | (0.0) | 0.3 | (0.5) |
2: MNS Entrance Model | 0.31 | 0.27 | 1.0 | (0.0) | 1.0 | (0.0) |
3: MNS Core Model | 0.00 | 0.02 | 0.0 | (0.0) | 0.3 | (0.5) |
4: Full Model | 0.69 | 0.70 | 1.0 | (0.0) | 1.0 | (0.0) |