Bayesian Network Inference Algorithms

摘要: Chapters 2 and 3 discussed the importance of learning structure parameters Bayesian networks from observational interventional data sets. inference on other hand is often a follow-up to network deals with inferring state set variables given others as evidence. Such an approach eliminates need for additional experiments therefore extremely helpful. In this chapter, we will introduce inferential techniques static dynamic their applications gene expression profiles.