Learning Bayesian Models with R

Bayesian theorem

From the definition of the conditional probabilities and , it is easy to show the following:

Rev. Thomas Bayes (1701–1761) used this rule and formulated his famous Bayes theorem that can be interpreted if represents the initial degree of belief (or prior probability) in the value of a random variable A before observing B; then, its posterior ...