Publisher
Springer Nature Switzerland
Reference11 articles.
1. Geiger, D., Heckerman, D.: Parameter priors for directed acyclic graphical models and the characterization of several probability distributions. Ann. Stat. 30, 1412–1440 (2002)
2. Kuipers, J., Moffa, G., Heckerman, D.: Addendum on the scoring of Gaussian directed acyclic graphical models. Ann. Stat. 42(4), 1689–1691 (2014)
3. Heckerman, D., Geiger, D., Chickering, D.: Learning Bayesian networks: the combination of knowledge and statistical data. Mach. Learn. 20, 197–243 (1995)
4. Luo, X.G., Moffa, G., Kuipers, J.: Learning Bayesian networks from ordinal data. J. Mach. Learn. Res. 22, 1–44 (2021)
5. Madigan, D., York, J.: Bayesian graphical models for discrete data. Int. Stat. Rev. 63, 215–232 (1995)