Bayes' theorem, also called Bayes' rule or Bayesian theorem, is a mathematical formula used to determine the conditional probability of events. The theorem uses the power of statistics and probability ...

Having a strong opinion about an issue can make it hard to take in new information about it, or to consider other options when they’re presented. Thankfully, there’s an old rule that can help us avoid ...

Nate Silver, baseball statistician turned political analyst, gained a lot of attention during the 2012 United States elections when he successfully predicted the outcome of the presidential vote in ...

This article was published in Scientific American’s former blog network and reflects the views of the author, not necessarily those of Scientific American I’m not sure when I first heard of Bayes’ ...

In The Theory That Would Not Die, Sharon Bertsch McGrayne tells the surprisingly gripping story of the theorem that pervades modern life FEW single ideas can boast such an impressive résumé. What else ...

What would Thomas Bayes think? In 1763, he proposed a new approach to calculate probabilities. An international team has now updated his ideas to deliver a quantum Bayes' rule. (Courtesy: Centre for ...

The stock market is an ever-changing place. In fact, it’s changing every second of every day as prices go up and down, and new factors impact the trajectory of the market. It’s important for investors ...

Observing, gathering knowledge and making predictions are the foundations of the scientific process. The accuracy of our predictions depends on the quality of our present knowledge and accuracy of our ...

Inside probability theory, conditional probability is a way to calculate and measure the probability of some event happening if another event has already occurred. The Bayes’ Theorem is one way of ...