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