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

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

What is Bayes's theorem, and how can it be used to assign probabilities to questions such as the existence of God? What scientific value does it have?

There's nothing to get a scientist's heart pumping like a good, old-fashioned statistical debate. When it comes to topics ...

Bayes’s Rule is a theorem in probability theory that answers the question, “When you encounter new information, how much should it change your confidence in a belief?” ...

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

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.

The decisions we make in life often come down to Bayes’ Theorem, but most of us don’t even realise what it is. So how does it work?

As one scientist puts it, Bayes' theorem, developed by a Presbyterian minister, isn't clouded by emotion, so it can be revelatory — and may be the best hope of finding Malaysian Airlines Flight 370.

Bayes' theorem can be applied to such inverse probability problems iteratively—when we need to update probabilities step by step as we gain evidence.