How likely you think something is to happen depends on what you already believe about the circumstances. That is the simple ...

Empirical probability uses the number of occurrences of an outcome within a sample set as a basis for determining the probability of that outcome.

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.

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

Explain why probability is important to statistics and data science. See the relationship between conditional and independent events in a statistical experiment. Calculate the expectation and variance ...

In analyzing the general election race, it’s only the conditional probabilities that matter. If Bush is good enough to win the primary, he’s probably good enough to give Republicans about a 50 ...

Conditional probability offers more relevant information regarding survival for patients once they have survived for some time. We report conditional survival probabilities on the basis of 498 ...