Graphical Models For Categorical Data
Cambridge Elements
by Alberto Roverato
- 1 Currently reading
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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Graphical Models for Categorical Data
2017, Cambridge University Press
in English
1108280897 9781108280891
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Graphical Models For Categorical Data: Cambridge Elements
August 24, 2017, Cambridge University Press
Paperback, Ebook
in English
- First edition
1108404960 9781108404969
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Book Details
Edition Notes
Graphical Models for Categorical Data is a concise introduction to the theory of graphical models. The book is a perfect read for those who want better grasp of the basics of graphical models for discrete data.
The main strength of the book is the unified notation, which helps the reader draw links between various approaches to graphical models for discrete data. The book also exploits the link between the theory of graphical models and the more general theory of statistical exponential families. This makes it an extremely valuable addition to the current literature and a useful tool for future research.
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- Created October 16, 2019
- 6 revisions
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| October 5, 2021 | Edited by ImportBot | import existing book |
| October 5, 2021 | Edited by ImportBot | import existing book |
| August 24, 2020 | Edited by ImportBot | import existing book |
| October 16, 2019 | Edited by Kaustubh Chakraborty | Added new cover |
| October 16, 2019 | Created by Kaustubh Chakraborty | Added new book. |