2 papers
stat.ME2025
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…
stat.ME2025
Conditional variable screening for ultra-high dimensional longitudinal data with time interactions
Andrea Bratsberg, Abhik Ghosh, Magne Thoresen
In recent years we have been able to gather large amounts of genomic data at a fast rate, creating situations where the number of variables greatly exceeds the number of observatio…