Figure 10
From: Controlling false discoveries in high-dimensional situations: boosting with stability selection
True positives rates – Gaussian additive regression model. Boxplots for the true positives rates (TPR) for all simulation settings with separate boxplots for the correlation settings (independent predictor variables or Toeplitz design), P F E R max and the assumption used to compute the error bound. Each observation in the boxplot is the average of the 50 simulation replicates. The open red circles represent the average true positive rates.