Bayesian networks

probabilistic graphical model that represents a set of variables and their conditional dependencies via a directed acyclic graph

variable that is not directly observed but is rather inferred (through a mathematical model) from other variables that are observed (directly measured)

generative statistical model that allows sets of observations to be explained by unobserved groups that explain why some parts of the data are similar

subset of variables that contains all the useful information

statistical model written in multiple levels that estimates the posterior distribution of model parameters using Bayesian methods

Bayesian network which relates variables to each other over adjacent time steps

graphical and mathematical representation of a decision situation

modeling tool for assigning probabilities to events