Graphical Models in Applied Multivariate Statistics / Edition 1

Graphical Models in Applied Multivariate Statistics / Edition 1

by Joe Whittaker
     
 

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ISBN-10: 0470743662

ISBN-13: 9780470743669

Pub. Date: 03/24/2009

Publisher: Wiley

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

Overview

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.

Product Details

ISBN-13:
9780470743669
Publisher:
Wiley
Publication date:
03/24/2009
Pages:
462
Product dimensions:
5.90(w) x 8.90(h) x 1.00(d)

Table of Contents

Independence and Interaction.

Independence Graphs.

Information Divergence.

The Inverse Variance.

Graphical Gaussian Models.

Graphical Log-Linear Models.

Model Selection.

Methods for Sparse Tables.

Regression and Graphical Chain Models.

Models for Mixed Variables.

Decompositions and Decomposability.

Appendices.

References.

Author Index.

Subject Index.

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