The model underlying a body of discrete data may be identified by relatively quick graphical methods. This paper attempts to coordinate the graphical techniques proposed by various authors during ...

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.

Faming Liang, Distinguished Professor of Statistics, and his new book, “Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests.” ...