Probabilistic reasoning: continuos variables and Bayes rules

The training objectives of this learning object are: 1) To represent knowledge with continuous variables; 2) To infer knowledge from continuous variables and the Bayes theorem; and 3) To apply the Bayes rule in general and, in particular, in the case of pattern recognition and machine learning. Juan Císcar, A.; Civera Saiz, J.; Sanchis Navarro, JA. (2018). Probabilistic reasoning: continuos variables and Bayes rules. http://hdl.handle.net/10251/105386