Graphical models----a subset of log--linear models----reveal the
interrelationships between multiple variables and features of the
underlying conditional independence. Following the
theorem--proof--remarks format, this introduction to the use of
graphical models in the description and modeling of multivariate
systems covers conditional independence, several types of
independence graphs, Gaussian models, issues in model selection,
regression and decomposition. Many numerical examples and exercises
with solutions are included.
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