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Table 1 Means of \(\ell _{1}\) error and prediction error

From: Compound Poisson point processes, concentration and oracle inequalities

Method\(\Vert \hat{{\beta }} - {\beta }^{*} \Vert _{1}\)Prediction error
 p = 20, ρ = 0.5
Lasso1.9027.161
Weight Lasso1.6246.147
 p = 20, ρ = 0.8
Lasso3.0017.155
Weight Lasso2.9176.979
 p = 100, ρ = 0.5
Lasso4.13715.452
Weight Lasso3.90513.866
 p = 100, ρ = 0.8
Lasso4.54310.866
Weight Lasso4.55210.695
 p = 200, ρ = 0.5
Lasso4.46717.533
Weight Lasso4.37315.854
 p = 200, ρ = 0.8
Lasso4.46717.533
Weight Lasso4.37315.854