arXiv · 1302.4938
A Transformational Characterization of Equivalent Bayesian Network Structures
Abstract
We present a simple characterization of equivalent Bayesian network structures based on local transformations. The significance of the characterization is twofold. First, we are able to easily prove several new invariant properties of theoretical interest for equivalent structures. Second, we use the characterization to derive an efficient algorithm that identifies all of the compelled edges in a structure. Compelled edge identification is of particular importance for learning Bayesian network structures from data because these edges indicate causal relationships when certain assumptions hold.
Explore related subjects
Keep this discovery
David Maxwell Chickering. 2013-02-20. A Transformational Characterization of Equivalent Bayesian Network Structures. https://arxiv.org/abs/1302.4938
Cite the original work for its findings. Save a collection to share your selection of sources.