Bayesian Network Constraint-Based Structure Learning Algorithms: Parallel and Optimized Implementations in the bnlearn R Package

It is well known in the literature that the problem of learning the structure of Bayesian networks is very hard to tackle: Its computational complexity is super-exponential in the number of nodes in the worst case and polynomial in most real-world scenarios. Efficient implementations of score-based...

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Bibliographic Details
Main Author: Marco Scutari
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2017-03-01
Series:Journal of Statistical Software
Subjects:
R
Online Access:https://www.jstatsoft.org/index.php/jss/article/view/3075