Graphical Models with R

Søren Højsgaard

ISBN 10: 1461422981 / ISBN 13: 9781461422983

Editore: Springer New York, Springer US Feb 2012, 2012

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Neuware -Graphical models in their modern form have been around since the late 1970s and appear today in many areas of the sciences. Along with the ongoing developments of graphical models, a number of different graphical modeling software programs have been written over the years. In recent years many of these software developments have taken place within the R community, either in the form of new packages or by providing an R interface to existing software. This book attempts to give the reader a gentle introduction to graphical modeling using R and the main features of some of these packages. In addition, the bookprovides examples of how more advanced aspects of graphical modeling can be represented and handled within R. Topics covered in the seven chapters include graphical models for contingency tables, Gaussian and mixed graphical models, Bayesian networks and modeling high dimensional data.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 192 pp. Englisch.

Codice articolo 9781461422983

Dati bibliografici

• Titolo: Graphical Models with R
• Editore: Springer New York, Springer US Feb 2012
• Data di pubblicazione: 2012
• Lingua: Inglese
• ISBN 10: 1461422981
• ISBN 13: 9781461422983
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 235 L x 155 A x 11 P (millimetri) 235 millimetri di larghezza per 155 millimetri di altezza per 11 millimetri di profondità
• Peso: 300 grammi

Descrizione articolo

Riassunto

Graphical models in their modern form have been around since the late 1970s and appear today in many areas of the sciences. Along with the ongoing developments of graphical models, a number of different graphical modeling software programs have been written over the years. In recent years many of these software developments have taken place within the R community, either in the form of new packages or by providing an R interface to existing software. This book attempts to give the reader a gentle introduction to graphical modeling using R and the main features of some of these packages. In addition, the book provides examples of how more advanced aspects of graphical modeling can be represented and handled within R. Topics covered in the seven chapters include graphical models for contingency tables, Gaussian and mixed graphical models, Bayesian networks and modeling high dimensional data.

Informazioni sull?autore

Søren Højsgaard is Associate Professor in Statistics and Head of the Department of Mathematical Sciences at Aalborg University.

David Edwards is Associate Professor at the Department of Molecular Biology and Genetics, Aarhus University.

Steffen Lauritzen is Professor of Statistics and Head of the Department of Statistics at the University of Oxford.