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Figure 13 | BMC Bioinformatics

Figure 13

From: Controlling false discoveries in high-dimensional situations: boosting with stability selection

Figure 13

True positives rates by the number of selected variables per boosting run q – Gaussian additive regression model. Boxplots for the true positives rates (TPR) for all simulation settings with separate boxplots for different numbers of selected variables per boosting run (q), the correlation settings (independent predictor variables or Toeplitz design), and the assumptions 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.

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