. Author manuscript; available in PMC: 2019 May 16.

Published in final edited form as: J Am Stat Assoc. 2018 May 16;113(521):134–151. doi: 10.1080/01621459.2017.1379404

Table 1:

Simulation study: Performance comparison of our method (BDFC) and the method of Allen et al. (2012) on edge detection for individual network states. Results are given as precision, accuracy (ACC) and the Matthews Correlation Coefficient (MCC) averaged across 30 simulations. Standard deviations are given in parentheses.

	BDFC			Allen et al.
	Precision (sd)	ACC (sd)	MCC (sd)	Precision (sd)	ACC (sd)	MCC (sd)
State 1	.575 (.067)	.857 (.037)	.611 (.080)	.496 (.255)	.757 (.146)	.547 (.257)
State 2	.500 (.053)	.822 (.024)	.471 (.079)	.537 (.298)	.773 (.177)	.555 (.320)
State 3	.958 (.083)	.890 (.037)	.742 (.092)	.548 (.251)	.691 (.182)	.389 (.348)