BIFROST—block recursive models induced from relevant knowledge, observations, and statistical techniques

A Guide to the Literature on Learning Probabilistic Networks from Data

IEEE Transactions on Knowledge and Data Engineering

Data mining tasks and methods: Probabilistic and casual networks: methodology for probabilistic networks

Handbook of data mining and knowledge discovery

Split models for contingency tables

Computational Statistics & Data Analysis

Enumerating the decomposable neighbors of a decomposable graph under a simple perturbation scheme

Computational Statistics & Data Analysis

Estimation of graphical models whose conditional independence graphs are interval graphs and its application to modelling linkage disequilibrium

Computational Statistics & Data Analysis

Bayesian learning of Bayesian networks with informative priors

Annals of Mathematics and Artificial Intelligence

A graphical characterization of the largest chain graphs

International Journal of Approximate Reasoning

YGGDRASIL: a statistical package for learning split models

UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence

Chain graphs for learning

UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence

An alternative Markov property for chain graphs

UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence

Automated interviews on clinical case reports to elicit directed acyclic graphs

Artificial Intelligence in Medicine