Most recent change of BayesTheorem

Edit made on March 25, 2015 by ColinWright at 09:28:43

Deleted text in red / Inserted text in green

Bayes' Theorem says that if event /B/ has a non-zero
probability of occuring, occurring, then when it does occur,
we can compute the probability that event /A/ also
happened as follows:

* EQN:P(A|B)=\frac{P(B|A).P(A)}{P(B)}

This gives a sort of "inverse probability" calculation.

See also:

A recent use of this theorem is spam filtering. Although the application is not strictly
correct, it's close enough that it can be very effective. An alternative, or even
supplementary spam filtering system uses Markov Chains.