Fig. 2
From: Resampling-based tests for Lasso in genome-wide association studies
Comparison of the true Lasso distribution with the modified residual bootstrap approximation to the distribution of \(\hat {\beta }_{\lambda,1},\) with increasing number of null SNPs. The black curve represents the empirical “true” Lasso distribution of \(T_{1}=\sqrt {n}(\hat {\beta }_{1}-\beta _{1})\), over 300 simulated datasets. The other curves combine the modified residual bootstrap distribution of \(T_{1}^{**}=\sqrt {n}(\hat {\beta }^{**}_{\lambda,1}-\tilde {\beta }_{\lambda,1})\) from all 300 datasets