This is roughly equivalent to someone having a number of tests to determine if they have a given disease. Test A, B and C all returned true. P(disease | A) = 0.5, P(disease | B) = 0.9, P(disease | C) = 0.1 (lets say C is a test that works out if you don't have the disease). I'd like to come...
Hi, I'm trying to work out a probability value from a number of distributions (tests), it gets a little complicated because some of the tests are dependent on each other.
Lets say I have a surface which has black and white regions distributed over it, where black is "true" and white is "false"...