Conditional probability is the likelihood of an event occurring based on the occurrence of an earlier event. The second event is dependent on the first event.

Bayes' theorem is a formula for calculating the probability of an event. Learn how to calculate Bayes' theorem and see examples.

Possibility theory and conditional probability offer complementary perspectives for modelling uncertainty, with each framework contributing distinct advantages. Possibility theory, rooted in fuzzy ...

In this note we wish to pass along an example that we have found useful when introducing the concepts of conditional probability and Bayes' Rule to undergraduate students. The advantages of this ...

In statistics, a frequentist interpretation looks only at the simple probability. But Bayes' theorem works with conditional information rather than just looking at a positive result, says Adam Frank.

Nonparametric maximum likelihood estimation of the probability of failing from a particular cause by time t in the presence of other acting causes (i.e., the cause-specific failure probability) is ...