Introduction to Graphical Modelling Hardback
Part of the Springer Texts in Statistics series
A useful introduction to this topic for both students and researchers, with an emphasis on applications and practicalities rather than on a formal development.
It is based on the popular software package for graphical modelling, MIM, freely available for downloading from the Internet.
Following a description of 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 this second edition and describe the use of directed, chain, and other graphs, complete with a summary of recent work on causal inference.
- Format: Hardback
- Pages: 335 pages, XV, 335 p.
- Publisher: Springer-Verlag New York Inc.
- Publication Date: 15/06/2000
- Category: Probability & statistics
- ISBN: 9780387950549
- PDF from £63.33