Bayesian Networks: With Examples in R, 2nd Edition
Bayesian Networks: With Examples in R
English | 2022 | ISBN: 0367366517 | 252 Pages | EPUB | 14 MB
English | 2022 | ISBN: 0367366517 | 252 Pages | EPUB | 14 MB
Bayesian Networks: With Examples in R, Second Edition introduces Bayesian networks using a hands-on approach. Simple yet meaningful examples illustrate each step of the modelling process and discuss side by side the underlying theory and its application using R code. The examples start from the simplest notions and gradually increase in complexity. In particular, this new edition contains significant new material on topics from modern machine-learning practice: dynamic networks, networks with heterogeneous variables, and model validation.