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Regression on Synthetic Spiked Covariance d/N = 0.9 (out-of-sample)

-3.33Median log10 MSElambda_min
-3.624-1.63950.3452.3295May 27, 2026

Evaluation results

MethodLinks
lambda_minN=50, log10 epsilon=-2.02026.05-3.33
lambda_minN=100, log10 epsilon=-2.02026.05-3.31
lambda_minN=200, log10 epsilon=-2.02026.05-3.29
lambda_SNN=200, log10 epsilon=-2.02026.05-2.83
lambda_sfpN=200, log10 epsilon=-2.02026.05-2.75
lambda_0N=200, log10 epsilon=-2.02026.05-2.62
lambda_SNN=100, log10 epsilon=-2.02026.05-2.61
lambda_sfpN=100, log10 epsilon=-2.02026.05-2.56
lambda_minN=50, log10 epsilon=-1.52026.05-2.52
lambda_minN=100, log10 epsilon=-1.52026.05-2.49
lambda_minN=200, log10 epsilon=-1.52026.05-2.47
lambda_0N=100, log10 epsilon=-2.02026.05-2.42
lambda_SNN=200, log10 epsilon=-1.52026.05-2.38
lambda_0N=200, log10 epsilon=-1.52026.05-2.38
lambda_SNN=50, log10 epsilon=-2.02026.05-2.37
lambda_sfpN=200, log10 epsilon=-1.52026.05-2.37
lambda_sfpN=50, log10 epsilon=-2.02026.05-2.35
lambda_SNN=100, log10 epsilon=-1.52026.05-2.31
lambda_sfpN=100, log10 epsilon=-1.52026.05-2.3
lambda_0N=100, log10 epsilon=-1.52026.05-2.25
lambda_0N=50, log10 epsilon=-2.02026.05-2.19
lambda_sfpN=50, log10 epsilon=-1.52026.05-2.18
lambda_SNN=50, log10 epsilon=-1.52026.05-2.17
lambda_0N=50, log10 epsilon=-1.52026.05-2.08
lambda_0N=50, log10 epsilon=-1.02026.05-1.69
lambda_minN=50, log10 epsilon=-1.02026.05-1.68
lambda_0N=100, log10 epsilon=-1.02026.05-1.66
lambda_minN=100, log10 epsilon=-1.02026.05-1.65
lambda_0N=200, log10 epsilon=-1.02026.05-1.65
lambda_minN=200, log10 epsilon=-1.02026.05-1.64
lambda_sfpN=200, log10 epsilon=-1.02026.05-1.63
lambda_sfpN=50, log10 epsilon=-1.02026.05-1.62
lambda_sfpN=100, log10 epsilon=-1.02026.05-1.62
lambda_SNN=200, log10 epsilon=-1.02026.05-1.62
lambda_SNN=100, log10 epsilon=-1.02026.05-1.61
lambda_SNN=50, log10 epsilon=-1.02026.05-1.6
lambda_minN=50, log10 epsilon=-0.52026.05-0.84
lambda_sfpN=50, log10 epsilon=-0.52026.05-0.81
lambda_SNN=50, log10 epsilon=-0.52026.05-0.81
lambda_minN=100, log10 epsilon=-0.52026.05-0.81
lambda_sfpN=100, log10 epsilon=-0.52026.05-0.8
lambda_SNN=100, log10 epsilon=-0.52026.05-0.8
lambda_minN=200, log10 epsilon=-0.52026.05-0.8
lambda_0N=50, log10 epsilon=-0.52026.05-0.79
lambda_sfpN=200, log10 epsilon=-0.52026.05-0.79
lambda_SNN=200, log10 epsilon=-0.52026.05-0.79
lambda_0N=100, log10 epsilon=-0.52026.05-0.73
lambda_0N=200, log10 epsilon=-0.52026.05-0.68
lambda_minN=50, log10 epsilon=0.02026.050.03
lambda_minN=100, log10 epsilon=0.02026.050.06
lambda_minN=200, log10 epsilon=0.02026.050.06
lambda_sfpN=50, log10 epsilon=0.02026.050.07
lambda_SNN=50, log10 epsilon=0.02026.050.07
lambda_sfpN=100, log10 epsilon=0.02026.050.08
lambda_sfpN=200, log10 epsilon=0.02026.050.08
lambda_SNN=100, log10 epsilon=0.02026.050.1
lambda_SNN=200, log10 epsilon=0.02026.050.14
lambda_0N=50, log10 epsilon=0.02026.050.2
lambda_0N=100, log10 epsilon=0.02026.050.24
lambda_0N=200, log10 epsilon=0.02026.050.31
lambda_minN=50, log10 epsilon=0.52026.051
lambda_minN=100, log10 epsilon=0.52026.051
lambda_minN=200, log10 epsilon=0.52026.051.01
lambda_sfpN=50, log10 epsilon=0.52026.051.03
lambda_sfpN=100, log10 epsilon=0.52026.051.03
lambda_sfpN=200, log10 epsilon=0.52026.051.05
lambda_SNN=50, log10 epsilon=0.52026.051.06
lambda_SNN=100, log10 epsilon=0.52026.051.09
lambda_SNN=200, log10 epsilon=0.52026.051.14
lambda_0N=50, log10 epsilon=0.52026.051.21
lambda_0N=100, log10 epsilon=0.52026.051.25
lambda_0N=200, log10 epsilon=0.52026.051.31
lambda_minN=50, log10 epsilon=1.02026.051.98
lambda_minN=100, log10 epsilon=1.02026.051.99
lambda_minN=200, log10 epsilon=1.02026.052
lambda_sfpN=50, log10 epsilon=1.02026.052.02
lambda_sfpN=100, log10 epsilon=1.02026.052.03
lambda_sfpN=200, log10 epsilon=1.02026.052.04
lambda_SNN=50, log10 epsilon=1.02026.052.05
lambda_SNN=100, log10 epsilon=1.02026.052.09
lambda_SNN=200, log10 epsilon=1.02026.052.13
lambda_0N=50, log10 epsilon=1.02026.052.18
lambda_0N=100, log10 epsilon=1.02026.052.26
lambda_0N=200, log10 epsilon=1.02026.052.3
lambda_minN=50, log10 epsilon=1.52026.052.97
lambda_minN=100, log10 epsilon=1.52026.052.98
lambda_minN=200, log10 epsilon=1.52026.053
lambda_sfpN=50, log10 epsilon=1.52026.053.02
lambda_sfpN=100, log10 epsilon=1.52026.053.02
lambda_sfpN=200, log10 epsilon=1.52026.053.04
lambda_SNN=50, log10 epsilon=1.52026.053.05
lambda_SNN=100, log10 epsilon=1.52026.053.09
lambda_SNN=200, log10 epsilon=1.52026.053.14
lambda_0N=50, log10 epsilon=1.52026.053.17
lambda_0N=100, log10 epsilon=1.52026.053.24
lambda_0N=200, log10 epsilon=1.52026.053.32
lambda_minN=50, log10 epsilon=2.02026.053.98
lambda_minN=100, log10 epsilon=2.02026.053.99
lambda_minN=200, log10 epsilon=2.02026.054
lambda_sfpN=50, log10 epsilon=2.02026.054.02