Graphical Models in Applied Multivariate Statistics, Hardback Book

Graphical Models in Applied Multivariate Statistics Hardback

Part of the Wiley Series in Probability and Statistics series

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Description

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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