Dynamic inference in probabilistic graphical models

Weiming Feng, Kun He, Xiaoming Sun +1

Probabilistic graphical models, such as Markov random fields (MRFs), are useful for describing high-dimensional distributions in terms of local dependence structures. The probabili…