Bad estimation, good prediction: the Lasso in dense regimes

Andrea Bratsberg, Magne Thoresen, Jelle J. Goeman

For high-dimensional omics data, sparsity-inducing regularization methods such as the Lasso are widely used and often yield strong predictive performance, even in settings when the…