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.

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

A mathematician's 'seemingly simple but counterintuitive probability puzzle' sparks online debate This article, originally posted in Japanese on 07:00 Sep 09, 2024, may contains some machine ...

At a recent conference on Bayes, fiducial and frequentist inference, David Cox presented eight illustrative examples, chosen to highlight potential difficulties for the theory of inference. We discuss ...