High-dimensional data arise when the number of measured variables far exceeds the number of observations, a situation common in genomics, image analysis and finance. This imbalance introduces ...

High-dimensional datasets arise across disciplines from genomics and neuroimaging to finance and social science. As the number of variables grows, statistical inference and predictive modelling become ...