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 ...

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In the evolving world of data architecture and analytics, Gopala Krishna Subraya Pai stands out as a thought leader whose innovative integration of Artificial Intelligence (AI) with Dimensional and ...

High-dimensional -omics data such as genomic, transcriptomic, and metabolomic data offer great promise in advancing precision medicine. In particular, such data have enabled the investigation of ...