Graphical Models for Categorical Data

Erscheinungsjahr 2017
ISBN: 978-1-108-40496-9
Verlag: Cambridge University Press

Buch, Englisch, 162 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 245 g

Reihe: SemStat Elements

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.

Autoren/Hrsg.

Roverato, Alberto

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik

Über Autor(innen)

Roverato, Alberto
Alberto Roverato is Professor of Statistics at Università di Bologna.