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. Author manuscript; available in PMC: 2019 Aug 9.
Published in final edited form as: J Mach Learn Res. 2014 Aug;15:2629–2652.

Table 4:

Average CPU time (s)

Sample size
50 100 200

Number of latent confounders Q = 0
 Our approach (t-distributed individual-specific effects) 27.20 56.93 141.84
 Our approach (Gaussian individual-specific effects) 35.48 69.59 117.10
 LvLiNGAM (1 latent confounder) 2.41 2.55 9.91
 LvLiNGAM (4 latent confounders) 22.25 30.12 87.96
 SLIM (1 latent confounder) 5.89 6.25 6.81
 SLIM (4 latent confounders) 7.60 8.14 9.13
 SLIM (10 latent confounders) 10.88 12.02 13.96
 LiNGAM-GC-UK 0.00 0.00 0.00
 ICA-LiNGAM 0.04 0.03 0.02
 DirectLiNGAM 0.00 0.01 0.01
 Pairwise LiNGAM 0.00 0.00 0.00
 Post-nonlinear causal model 19.59 27.68 57.37

Number of latent confounders Q = 1:
 Our approach (t-distributed individual-specific effects) 35.87 65.55 131.25
 Our approach (Gaussian individual-specific effects) 37.12 75.11 114.37
 LvLiNGAM (1 latent confounder) 2.40 2.53 13.93
 LvLiNGAM (4 latent confounders) 21.50 29.50 92.19
 SLIM (1 latent confounder) 5.88 6.01 6.69
 SLIM (4 latent confounders) 7.59 8.19 8.96
 SLIM (10 latent confounders) 10.96 11.79 13.68
 LiNGAM-GC-UK 0.00 0.00 0.00
 ICA-LiNGAM 0.05 0.03 0.03
 DirectLiNGAM 0.01 0.01 0.01
 Pairwise LiNGAM 0.00 0.00 0.00
 Post-nonlinear causal model 18.17 28.83 51.63

Number of latent confounders Q = 6:
 Our approach (t-distributed individual-specific effects) 42.66 76.29 132.43
 Our approach (Gaussian individual-specific effects) 33.13 69.07 104.83
 LvLiNGAM (1 latent confounder) 2.40 2.56 9.38
 LvLiNGAM (4 latent confounders) 22.17 30.12 83.01
 SLIM (1 latent confounder) 5.89 6.22 6.77
 SLIM (4 latent confounders) 7.58 8.18 9.11
 SLIM (10 latent confounders) 11.03 12.02 13.91
 LiNGAM-GC-UK 0.00 0.00 0.00
 ICA-LiNGAM 0.06 0.05 0.05
 DirectLiNGAM 0.01 0.01 0.01
 Pairwise LiNGAM 0.00 0.00 0.00
 Post-nonlinear causal model 18.71 29.62 52.21

Number of latent confounders Q = 12:
 Our approach (t-distributed individual-specific effects) 29.16 59.30 134.89
 Our approach (Gaussian individual-specific effects) 32.18 68.14 104.76
 LvLiNGAM (1 latent confounder) 2.35 2.50 13.58
 LvLiNGAM (4 latent confounders) 21.51 30.10 94.08
 SLIM (1 latent confounder) 5.90 6.03 6.62
 SLIM (4 latent confounders) 7.58 7.99 8.97
 SLIM (10 latent confounders) 10.92 11.68 13.74
 LiNGAM-GC-UK 0.00 0.00 0.00
 ICA-LiNGAM 0.07 0.08 0.07
 DirectLiNGAM 0.01 0.02 0.02
 Pairwise LiNGAM 0.00 0.00 0.00
 Post-nonlinear causal model 18.21 29.21 51.89