In the ever-evolving toolkit of statistical analysis techniques, Bayesian statistics has emerged as a popular and powerful methodology for making decisions from data in the applied sciences. Bayesian ...

A probability is a number that takes some value equal to or between zero and one. If the probability of the 'event' of interest is zero, then the event cannot occur. So, for example, the probability ...

We review Bayesian and Bayesian decision theoretic approaches to subgroup analysis and applications to subgroup-based adaptive clinical trial designs. Subgroup analysis refers to inference about ...

In the 20th-century statistics wars, Bayesians were underdogs. Now their methods may help speed treatments to market.

It turns out that the old adage about statistics and damned lies wasn’t a joke. Sticks and stones may be bonebreakers, and words inflict no (physical) pain, but numbers can kill. In 2004, for instance ...

The Signal and the Noise: Why So Many Predictions Fail—But Some Don't, by Nate Silver, Penguin Press, 544 pages, $27.95 The Physics of Wall Street: A Brief History of Predicting the Unpredictable, by ...

Machine Learning gets all the marketing hype, but are we overlooking Bayesian Networks? Here's a deeper look at why "Bayes Nets" are underrated - especially when it comes to addressing probability and ...

A man went on an airplane ride. Unfortunately, he fell out. Fortunately, he had a parachute on. Unfortunately, the parachute did not open. Fortunately, there was a haystack below him, directly in the ...