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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Alberto Roverato is Professor of Statistics at Universit... di Bologna.
'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...
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Paperback. Condition: new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781108404969
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