Graphical Models for Categorical Data
$28.00 ( ) USD
Part of SemStat Elements
- Author: Alberto Roverato, Università di Bologna
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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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- Date Published: July 2017
- format: Adobe eBook Reader
- isbn: 9781108280891
- availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
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