Introduction to Graphical Modelling

  • David Edwards

Part of the Springer Texts in Statistics book series (STS)

Table of contents

  1. Front Matter
    Pages i-xv
  2. David Edwards
    Pages 1-12
  3. David Edwards
    Pages 13-34
  4. David Edwards
    Pages 35-58
  5. David Edwards
    Pages 59-123
  6. David Edwards
    Pages 125-156
  7. David Edwards
    Pages 157-188
  8. David Edwards
    Pages 189-217
  9. David Edwards
    Pages 219-243
  10. Back Matter
    Pages 245-334

About this book


Graphic modelling is a form of multivariate analysis that uses graphs to represent models. These graphs display the structure of dependencies, both associational and causal, between the variables in the model. This textbook provides an introduction to graphical modelling with emphasis on applications and practicalities rather than on a formal development. It is based on the popular software package for graphical modelling, MIM, a freeware version of which can be downloaded from the Internet. Following an introductory chapter which sets the scene and describes some of the basic ideas of graphical modelling, subsequent chapters describe particular families of models, including log-linear models, Gaussian models, and models for mixed discrete and continuous variables. Further chapters cover hypothesis testing and model selection. Chapters 7 and 8 are new to the second edition. Chapter 7 describes the use of directed graphs, chain graphs, and other graphs. Chapter 8 summarizes some recent work on causal inference, relevant when graphical models are given a causal interpretation. This book will provide a useful introduction to this topic for students and researchers.


Graph Graphical Modelling Graphical Models Likelihood Multivariate Analysis Sim Variance algorithms

Authors and affiliations

  • David Edwards
    • 1
  1. 1.Statistics DepartmentNovo Nordisk A/SBagsvaerdDenmark

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media New York 2000
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-6787-4
  • Online ISBN 978-1-4612-0493-0
  • Series Print ISSN 1431-875X
  • Buy this book on publisher's site
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