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How Pearson Coefficients are computed in BayesiaLab?
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The Pearson Correlation Coefficient between two nodes X and Y is defined as the covariance of the two corresponding variables divided by the product of their standard deviations.formule.png where the covariance is defined by:formule1.png and the standard deviation:formule2.png  - [latex:5dr0xc21]V_x[/latex:5dr0xc21] is the Value that is associated to the state x - [latex:5dr0xc21]v_X[/latex:5dr0xc21] is the Expected Value of node X - [latex:5dr0xc21]p_x[/latex:5dr0xc21] is the marginal probability of state x returned by the Bayesian network - [latex:5dr0xc21]p(x,y)[/latex:5dr0xc21] is the joint probability of states x and y returned by the Bayesian network
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