1.9 Bayes’ Theorem
Now that we understand the various probabilities, we can use this knowledge to understand and apply Bayes' theorem (named after the Reverend Thomas Bayes). This theorem has a central place in the probabilistic theory and gives us a completely new perspective to think about probability.
Bayes’ theorem provides a structured way to convert a conditional
probability from one direction, say (
|
), to the other direction,
(
|
). When dealing with decision-making or scientific inference, it allows us
to update our beliefs in the light of new evidence. Mathematically, Bayes’
theorem can be denoted as:
, provided that
(
) > 0