Graphical Models in Applied Multivariate Statistics

by Joe Whittaker

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.

464 pages, Hardcover

First published April 13, 1990

Reviews

[Uzùmákî Tenshøû]

I need this book for my research

[Madhusa K · Rating 4 out of 5]

Pretty niche, but a great introduction to graphs and graphical models