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 ...

It is a significant and challenging task to detect the informative features to carry out explainable analysis and build an interpretable AI system for high dimensional data, especially for those with ...

This book offers a comprehensive framework for mastering the complexities of learning high-dimensional sparse graphical models through the use of conditional independence tests. These tests are ...