Figure 2.

GP vs. BATS on simulated data. ROC curves for the GP and BATS methods on data simulated by BATS induced with (a) Gaussian noise, (b) Student's-t with 5 degrees of freedom, (c) Student's-t with 3 degrees of freedom; and on (d) data simulated by Gaussian processes. Each panel depicts one ROC curve for the GP method and three for BATS, each using a different noise model indicated by the subscript in the legend ("G" for Gaussian, "T" for Student's-t and "DE" for double exponential marginal distributions of error), followed by the area under the corresponding curve (AUC).

Kalaitzis and Lawrence BMC Bioinformatics 2011 12:180   doi:10.1186/1471-2105-12-180
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