High-dimensional feature screening and variable selection represent critical methodological advancements designed to address the challenges posed by datasets where the number of potential predictors ...

Testing the independence or block independence of high-dimensional random vectors is important in multivariate statistical analysis. Recent works on high-dimensional block-independence tests aim to ...

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 ...

Background The knee joint is one of the most frequently injured joint in sports. Sport injury is mostly non-contact in nature and often occur during single leg landings (SLL). SLL are also a common ...