Graphical Models for Categorical Data

Graphical Models for Categorical Data 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. Autor: Alberto Roverato Wydawnictwo: Cambridge University Press Rok wydania: 2017 Okładka: miękka Liczba stron: 178 Wymiary: 23 x 15.5 x 1 cm Ilustracje: Worked examples or Exercises Język: angielski ISBN: 9781108404969