Bayesian statistics has emerged as a powerful methodology for making decisions from data in the applied sciences. Bayesian brings a new way of thinking to statistics, in how it deals with 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 ...

Bayesian networks Functional safety practitioners will be familiar with fault trees and event trees. What might be new to many are Bayesian networks, a simple example of which is shown in figure 5.

All you need to know about Bayes' theorem and how it's used to evaluate the probability that financial scenarios will occur.

For example, if ABC Company stock price drops three days in a row and the whole market is down on the fourth day, what is the likelihood that ABC Company is also down? Many people use Bayes’ Theorem ...

In a Bayesian analysis, in other words, a set of observations should be seen as something that changes opinion, rather than as a means of determining ultimate truth. In the case of a drug trial ...

Researchers say they've developed an algorithm that can teach a new concept to a computer using just one example rather than thousands.