Learning Large-Scale Bayesian Networks with the <b>sparsebn</b> Package
Learning Large-Scale Bayesian Networks with the <b>sparsebn</b> 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 developed a new R …