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Graphical models for categorical data / Alberto Roverato.

By: Series: SemStat elementsPublication details: Cambridge : Cambridge University Press, 2017.Description: vii, 152 pages : illustrations ; 23 cmISBN:
  • 9781108404969
Subject(s): DDC classification:
  • 000SA.061 23 R873
Contents:
1. Introduction -- 2. Conditional Independence and Cross-product Ratios -- 3. Mobius Inversion -- 4. Undirected Graph Models -- 5. Bidirected Graph Models -- 6. Directed Acyclic and Regression Graph Models.
Summary: For advanced students of network data science, this compact account covers both well-established methodology and the theory of models recently introduced in the graphical model literature. It focuses on the discrete case where all variables involved are categorical and, in this context, it achieves a unified presentation of classical and recent results.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 000SA.061 R873 (Browse shelf(Opens below)) Available 138426
Total holds: 0

Includes bibliographical references.

1. Introduction --
2. Conditional Independence and Cross-product Ratios --
3. Mobius Inversion --
4. Undirected Graph Models --
5. Bidirected Graph Models --
6. Directed Acyclic and Regression Graph Models.

For advanced students of network data science, this compact account covers both well-established methodology and the theory of models recently introduced in the graphical model literature. It focuses on the discrete case where all variables involved are categorical and, in this context, it achieves a unified presentation of classical and recent results.

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