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 ...

Publication title Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests Purdue author Faming Liang Authors Bochao Jia, Faming Liang Publisher Chapman & Hall ...

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.