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 ...

“Bayesian Statistics the Fun Way: Understanding Statistics and Probability with Star Wars, Lego, and Rubber Ducks,” by Will Kurt (2019 No Starch Press) is an excellent introduction to subjects ...

Bayes' theorem of probability was proposed by English mathematician and clergyman Thomas Bayes in the 1740s, and rediscovered in the 1770s by Pierre Simon Laplace, a French mathematician. It states ...

The Rev. Thomas Bayes was, as the honorific the Rev. suggests, a clergyman. Too bad he wasn’t a lawyer. Maybe if he had been, lawyers today wouldn’t be so reluctant to enlist his mathematical insights ...

A while back one of my students, “Frank,” a real smarty-pants, started babbling about something called Bayes’ theorem. He wrote a long, dense paper about the theorem’s revelatory power, which had ...

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 ...

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’ ...

Learn how prior probability informs economic theory and decision-making in Bayesian statistics. Understand its role before collecting new data.

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 ...