Hybrid Random Fields is a class of graphical probabilistic models and it combines Bayesian Networks and Markov Random Fields models. Due to certain assumptions and properties of Hybrid Random Fields, it can simplify the calculation of joint distribution for a certain set of random variables and conditional probability densities for each of the random variables.