has lead to high amount of researches on hybrid Bayesian networks in the recent years. Nevertheless, one of the challenges in inference in hybrid BNs is the difference between conditional probability density functions of different types of variables...

Bayesian Network is a significant graphical model

that is used to do probabilistic inference and reasoning under

uncertainty circumstances. In many applications, existence of

discrete and continuous ...