For more than half a century, data analysts have used graphs to represent statistical models. In particular, graphical "conditional independence" models have emerged as a useful class of models.

This is a preview. Log in through your library . Abstract Graphical methods are useful in statistics in exploratory analysis and in the presentation of conclusions, and to a more limited extent in ...

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 ...