1. Andersson, S. A., Madigan, D., & Perlman, M. D. (1997). On the Markov equivalence of chain graphs, undirected graphs, and acyclic digraphs. Scandinavian Journal of Statistics, 24, 81–102.
2. Andrews, B., Ramsey, J., & Cooper, G. F. (2018). Scoring Bayesian networks of mixed variables. International Journal of Data Science and Analytics, 14, 2–18.
3. Andrews, B., Ramsey, J., & Cooper, G. F. (2019). Learning high-dimensional directed acyclic graphs with mixed data-types. In Proceedings of machine learning research, vol. 104 of Proceedings of Machine Learning Research. PMLR, pp. 4–21.
4. Barbieri, M. M., & Berger, J. O. (2004). Optimal predictive model selection. The Annals of Statistics, 32, 870–897.
5. Bhadra, A., Rao, A., & Baladandayuthapani, V. (2018). Inferring network structure in non-normal and mixed discrete-continuous genomic data. Biometrics, 74, 185–195.