Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Computational Statistics & Data Analysis - Special issue dedicated to Toma´sˇ Havra´nek
Chain graphs and symmetric associations
Proceedings of the NATO Advanced Study Institute on Learning in graphical models
Chain graphs: semantics and expressiveness
ECSQARU '95 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
Graphical Models in Applied Multivariate Statistics
Graphical Models in Applied Multivariate Statistics
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
On separation criterion and recovery algorithm for chain graphs
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
The size distribution for Markov equivalence classes of acyclic digraph models
Artificial Intelligence
Characterization of essential graphs by means of the operation of legal merging of components
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems - New trends in probabilistic graphical models
A Graphical Representation of Equivalence Classes of AMP Chain Graphs
The Journal of Machine Learning Research
IEEE Transactions on Software Engineering
Parallell interacting MCMC for learning of topologies of graphical models
Data Mining and Knowledge Discovery
Enumerating Markov equivalence classes of acyclic digraph dels
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Learning causal structures based on markov equivalence class
ALT'05 Proceedings of the 16th international conference on Algorithmic Learning Theory
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The paper presents a graphical characterization of the largest chain graphs which serve as unique representatives of classes of Markov equivalent chain graphs. The characterization is a basis for an algorithm constructing, for a given chain graph, the largest chain graph equivalent to it. The algorithm was used to generate a catalog of the largest chain graphs with at most five vertices. Every item of the catalog contains the largest chain graph of a class of Markov equivalent chain graphs and an economical record of the induced independency model.