Bayesian networks are used in a variety of fields, including bioinformatics, medicine, robotics, and law. In medicine, Bayesian networks have been used to model the relationship between diseases and symptoms, and to analyze medical data. In bioinformatics, Bayesian networks have been applied to analyze gene expression data and to model protein interactions. In robotics, Bayesian networks have been used to model the relationship between the position of an object and the position of a robot's hand. In law, Bayesian networks have been used to model the relationship between evidence and hypotheses.

Markov models are used in a variety of fields, including bioinformatics, medicine, robotics, and law. In medicine, Markov models have been used to model the relationship between diseases and symptoms, and to analyze medical data. In bioinformatics, Markov models have been applied to analyze gene expression data and to model protein interactions. In robotics, Markov models have been used to model the relationship between the position of an object and the position of a robot's hand. In law, Markov models have been used to model the relationship between evidence and hypotheses.