A0743
Title: Detecting responsible nodes in differential Bayesian networks
Authors: Xianzheng Huang - University of South Carolina (United States) [presenting]
Hongmei Zhang - University of Memphis (United States)
Abstract: To study the roles different nodes play in differentiating Bayesian networks under two states, such as control versus disease, two node-specific scores are formulated to facilitate differential analysis. The first score is motivated by the prediction invariance property of a causal model. The second score results from modifying an existing score constructed for differential analysis of undirected networks. Strategies based on these scores are developed to identify nodes responsible for topological differences between two Bayesian networks. Synthetic data and real-life data from designed experiments are used to demonstrate the effectiveness of the proposed methods in detecting responsible nodes.
