Graphical Models for Categorical Data

This compact account covers both well-established methodology and the theory of models recently introduced in the graphical model literature.

About the author

Alberto Roverato is Professor of Statistics at Università di Bologna.

Summary

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.

Product details

• Authors: Alberto Roverato, Alberto (Universit... Di Bologna) Roverato, Alberto (Universita DI Bologna) Roverato
• Publisher: Cambridge University Press ELT
• Languages: English
• Product format: Paperback / Softback
• Released: 30.06.2017
• EAN: 9781108404969
• ISBN: 978-1-108-40496-9
• No. of pages: 178
• Series: Semstat Elements; SemStat Elements
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; Data Mining, MATHEMATICS / Probability & Statistics / General, Signal Processing, Probability & statistics, Databases, Probability and statistics