Single Idea 16837

[catalogued under 14. Science / C. Induction / 6. Bayes's Theorem]

Full Idea

In p(H|E) = p(E|H)p(H)/p(E), the left side is the 'posterior' probability of H given E, p(E|H) is the 'likelihood' of E given H, and the others are the 'priors' of H and E. Moving from right to left is known as 'conditionalization'.

Gist of Idea

Bayes involves 'prior' probabilities, 'likelihood', 'posterior' probability, and 'conditionalising'

Source

Peter Lipton (Inference to the Best Explanation (2nd) [2004], 07 'The Bayesian')

Book Reference

Lipton,Peter: 'Inference to the Best Explanation (2nd ed)' [Routledge 2004], p.103