A Bayesian network (also known as a Bayes network, Bayes net, belief network, or decision network) is a probabilistic graphical model that represents...

dynamic Bayesian network (DBN) is a Bayesian network (BN) which relates variables to each other over adjacent time steps. A dynamic Bayesian network (DBN)...

learning. Bayesian networks that model sequences of variables, like speech signals or protein sequences, are called dynamic Bayesian networks. Generalizations...

the classifier its name. These classifiers are among the simplest Bayesian network models. Naive Bayes classifiers are highly scalable, requiring a number...

Bayesian statistics (/ˈbeɪziən/ BAY-zee-ən or /ˈbeɪʒən/ BAY-zhən) is a theory in the field of statistics based on the Bayesian interpretation of probability...

dynamic decision networks, game theory and mechanism design. Bayesian networks are a tool that can be used for reasoning (using the Bayesian inference algorithm)...

Bayesian hierarchical modelling is a statistical model written in multiple levels (hierarchical form) that estimates the parameters of the posterior distribution...

decision network) is a compact graphical and mathematical representation of a decision situation. It is a generalization of a Bayesian network, in which...

Bayesian analysis – Type of sensitivity analysis Variable-order Bayesian network Variational Bayesian methods – Mathematical methods used in Bayesian...

Bayesian approaches to brain function investigate the capacity of the nervous system to operate in situations of uncertainty in a fashion that is close...