Hongmei Zhang, Xianzheng Huang, Shengtong Han, Faisal I Rezwan, Wilfried Karmaus, Hasan Arshad, John W Holloway
A Bayesian approach is proposed that unifies Gaussian Bayesian network constructions and comparisons between two networks (identical or differential) for data with graph ordering unknown. When sampling graph ordering, to escape from local maximums, an adjusted single queue equi-energy algorithm is applied. The conditional posterior probability mass function for network differentiation is derived and its asymptotic proposition is theoretically assessed. Simulations are used to demonstrate the approach and compare with existing methods...
May 2021: Computational Statistics & Data Analysis