Estimating Latent Attentional States Based on Simultaneous Binary and Continuous Behavioral Measures

Table 3

Results on the state estimate from the simulated hidden semi-Markovian chain (mean sem, computed from 100 independent Monte Carlo runs). The other model parameters remain unchanged. All analyses are based on .

Mean; parameter	Distribution; overlap	RIP (HSMM, method 2)
	13.5%
	22.2%
	39.4%
	54.9%
	58.5%