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 ...
Bayesian MCMC Mapping of Quantitative Trait Loci in a Half-Sib Design: A Graphical Model Perspective
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 ...
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