Table 1.

Comparison of graph estimation accuracy among the lasso and the adaptive lasso estimators of GGM and CGGM for Example 1, Example 2 (including three scenarios), and Example 3. “ALASSO” means adaptive lasso

Example/scenario	Criteria	n = 50				n = 100
		LASSO		ALASSO		LASSO		ALASSO
		GGM	CGGM	GGM	CGGM	GGM	CGGM	GGM	CGGM
EX1	FP	1	0.51	1	0.15	1	0.40	1	0.05
	FN	0	0	0	0	0	0	0	0
	PATH	0	1	0	1	1	1	0	1
EX2-SC1	FP	0.84	0.02	0.54	0.06	0.93	0.01	0.67	0.02
	FN	0	0	0	0	0	0	0	0
	PATH	0	1	0.01	0.63	0	1	0.98	1
EX2-SC2	FP	0.98	0.55	0.96	0.31	1	0.51	1	0.22
	FN	0.06	0.01	0.15	0.02	0.02	0	0.08	0
	PATH	0	0.57	0	0.71	0	0.79	0	0.98
EX2-SC3	FP	0.71	0.68	0.18	0.19	0.75	0.77	0.10	0.11
	FN	0	0	0.01	0.02	0	0	0	0
	PATH	0	0.43	0.80	0.52	0	0.56	1	0.87
EX3	FP	0.79	0.23	0.41	0.09	0.83	0.16	0.59	0.03
	FN	0	0	0	0	0	0	0	0
	PATH	0	0.94	0.95	0.99	0	1	1	1