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 ...
This is a preview. Log in through your library . Abstract Many high-dimensional hypothesis tests aim to globally examine marginal or low-dimensional features of a high-dimensional joint distribution, ...
Yihong Wu, whose work lies at the intersection of high-dimensional statistics, information theory, and computer science, was recently appointed the James A. Attwood Professor of Statistics and Data ...
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