The Wiley Paperback Series makes valuable content more accessible
to a new generation of statisticians, mathematicians and
scientists.
Graphical models--a subset of log-linear models--reveal the
interrelationships between multiple variables and features of the
underlying conditional independence. 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.
This book is aimed at students who require a course on applied
multivariate statistics unified by the concept of conditional
independence and researchers concerned with applying graphical
modelling techniques.
General
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