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Graphical Models for Categorical Data - SemStat Elements Roverato, Alberto (Universita di Bologna)
Graphical Models for Categorical Data - SemStat Elements
Roverato, Alberto (Universita di Bologna)
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.
178 pages, Worked examples or Exercises
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | August 24, 2017 |
| ISBN13 | 9781108404969 |
| Publishers | Cambridge University Press |
| Pages | 162 |
| Dimensions | 155 × 230 × 10 mm · 230 g |
| Language | English |