Learning Large-Scale Bayesian Networks with the sparsebn Package

Learning graphical models from data is an important problem with wide applications, ranging from genomics to the social sciences. Nowadays datasets often have upwards of thousands - sometimes tens or hundreds of thousands - of variables and far fewer samples. To meet this challenge, we have deve...

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Bibliographic Details
Main Authors: Bryon Aragam, Jiaying Gu, Qing Zhou
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2019-11-01
Series:Journal of Statistical Software
Subjects:
Online Access:https://www.jstatsoft.org/index.php/jss/article/view/3051