The basic foundation of probability theory follows from the following intuitive definition of conditional probability.
In this definition events A and B are simultaneous an have no (explicit) temporal order we can write
This leads us to a common form of Bayes Theory, the equation:
which allows us to compute the probability of one event in terms of observations of another and knowledge of joint distributions.