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Graphical models. Representations for learning, reasoning and data mining. 2nd ed. (English) Zbl 1269.62014
Wiley Series in Computational Statistics. Hoboken, NJ: John Wiley & Sons (ISBN 978-0-470-72210-7/hbk; 978-0-470-74955-5/ebook). ix, 393 p. (2009).
Publisher’s description: Graphical models are of increasing importance in applied statistics, and in particular in data mining. Providing a self-contained introduction and overview to learning relational, probabilistic, and possibilistic networks from data, this second edition is thoroughly updated to include the latest research in this burgeoning field, including a new chapter on visualization. The text provides graduate students, and researchers with all the necessary background material, including modelling under uncertainty, decomposition of distributions, graphical representation of distributions, and applications relating to graphical models and problems for further research. See also the review of the first edition from 2002, Zbl 1017.62002.

MSC:
62-07 Data analysis (statistics) (MSC2010)
62-09 Graphical methods in statistics (MSC2010)
68P99 Theory of data
62-02 Research exposition (monographs, survey articles) pertaining to statistics
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