Inferential research commonly involves identification of causal factors from within high dimensional data but selection of the ‘correct’ variables can be problematic. One specific problem is that ...

Up to now, it has taken a great deal of computational effort to detect dependencies between more than two high-dimensional variables, in particular when complicated non-linear relationships are ...

The rapid emergence of high-throughput genomic profiling has led to datasets encompassing tens of thousands to millions of measurements per sample. In such settings, classical statistical techniques ...