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 ...

N. A. Sheehan, B. Gulbrandtsen, M. S. Lund and D. A. Sorensen Graphical models provide a powerful and flexible approach to the analysis of complex problems in genetics. While task-specific software ...

This is a preview. Log in through your library . Abstract The authors present a generalization of the multiple-group bifactor model that extends the classical bifactor model for categorical outcomes ...