Bayes Theorem is a way to calculate conditional probabilities. This is important when you want to calculate how probabilities change when you see data. It is a way to measure how much you have learned ...

You're sitting in the doctor's office waiting for the result of a test. The test will tell you whether you have a disease you really don't want to have. As you wait, it seems as if the whole world is ...

Chris Wiggins, an associate professor of applied mathematics at Columbia University, offers this explanation. A patient goes to see a doctor. The doctor performs a test with 99 percent ...

Scientists derive a quantum version of Bayes’ rule, bridging classical probability and quantum theory. This breakthrough ...

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 ...

Over the years, many writers have implied that statistics can provide almost any result that is convenient at the time. Of course, honest practitioners use statistics in an attempt to quantify the ...

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 ...

Quantum versions of Bayes’ rule have been around for decades, but the approach through the minimum change principle had not ...

Although Bayes's theorem demands a prior that is a probability distribution on the parameter space, the calculus associated with Bayes's theorem sometimes generates sensible procedures from improper ...