Recent content by jeff91

Thank you for your replies. I am trying to obtain probabilities to put in a Bayesian network from an AHP questionnaire. This is the bit from the book I am looking at. I have the weights as they are outputted from the AHP spreadsheet. I have only ever done Bayesian networks when I have...

Is it possible to rearrange or inverse this to solve for p(1X | Y)? I haven't done this level of maths for over 15 years and haven't a clue where to start. 1wk =p(1X | Y)⋅ wk weight vector of 1X node in case a is 1w=[1w1, 1w2,…, 1wm] weight vector of Y node w=[w1, w2,…, wm] where 1 ≤ k ≤ m