Treating probability as a logic, Thomas Bayes defined the following:
Pr(A|B)=Pr(B|A)Pr(A)/Pr(B)
For example, probability that the weather was bad given that our friends played soccer can be calculated as:
Pr(play soccer in the rain)Pr(rain)/Pr(play soccer).
Pr(A|B)=Pr(B|A)Pr(A)/Pr(B)
For example, probability that the weather was bad given that our friends played soccer can be calculated as:
Pr(play soccer in the rain)Pr(rain)/Pr(play soccer).
updated: 15 August 2005
HOW TO CITE THIS ENTRY
- To learn more:
- Try the Bayes rule demonstrations at the applets page.