Thomas Bayes was an English cleric and mathematician who was interested, among other things, in finding a proof of god. He couldn’t, but he left a treatise and a theorem, which, after it was ...

Ars Video Bayes' theorem in essence states that the probability of a given hypothesis depends both on the current data and prior knowledge.

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

We make subjective probability statements, or 'priors', about these parameters based on our experience and reasoning about the population.

Bayes' Theorem has applications in just about every corner of the investing world. It’s not only used to predict the probability of stock price movements.

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

All you need to know about Bayes' theorem and how it's used to evaluate the probability that financial scenarios will occur.

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.

Bayes and his theorem The pioneer of "Bayesian probability" was an English statistician named Thomas Bayes. An image purportedly of 18th century statistician Thomas Bayes. (Wikimedia Commons) ...