One area of particular interest and controversy has been Bayes' theorem.

Consider the drug testing example in the article on Bayes' theorem.

Bayes' theorem is just another way to write that equation.

There are some famous cases were Bayes' theorem can be applied.

It may be preferred to Bayes' theorem in practice for a number of reasons.

There is also a version of Bayes' theorem for continuous distributions.

It included a statement of a special case of what is now called Bayes' theorem.

This model has been shown to be mathematically equivalent to Bayes' theorem.

The correct answer can be computed using Bayes' theorem.

Bayes' theorem serves as the link between these different partitionings.

The revision process is done by applying Bayes' theorem.

We can also use Bayes' theorem to calculate the probability of a false negative.

The correct answer, found using Bayes' theorem, is lower than these estimates:

The use of Bayes' theorem by jurors is controversial.

An equation based on Bayes' Theorem cannot therefore be solved.

Bayes' theorem is used several times in the context of spam:

Bayes' theorem is an elementary proposition of probability theory.

Probabilistic theorems like the Bayes' theorem are often used in these models.

Bayes' theorem then links the degree of belief in a proposition before and after accounting for evidence.

The role of Bayes' theorem is best visualized with tree diagrams, as shown to the right.

The precise answer is given by Bayes' theorem.

This essay contains a statement of a special case of Bayes' theorem.

On this basis, one can derive the following formula from Bayes' theorem:

Bayes' theorem is applied to find the posterior distribution over :

The correct answer according to Bayes' Theorem is closer to .97.