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Table 6 PMF of bivariate binary variables using Gaussian copula

From: Multivariate distributions of correlated binary variables generated by pair-copulas

 

Probability

(Y1,Y2)

 

(0, 0)

C(q1,q2; γ12)=Φ2(Φ−1(0.2),Φ−1(0.3);0.752)=0.1517

(0, 1)

q1−C(q1,q2; γ12)=0.2−0.1517=0.0483

(1, 0)

q2−C(q1,q2; γ12)=0.3−0.1517=0.1483

(1, 1)

1−q1−q2+C(q1,q2; γ12)=1−0.2−0.3+0.1517=0.6517

(Y2,Y3)

 

(0, 0)

C(q2,q3; γ23)=Φ2(Φ−1(0.3),Φ−1(0.4);0.607)=0.2097

(0, 1)

q2−C(q2,q3; γ23)=0.3−0.2097=0.0903

(1, 0)

q3−C(q2,q3; γ23)=0.4−0.2097=0.1903

(1, 1)

1−q2−q3+C(q2,q3; γ23)=1−0.3−0.4+0.2097=0.5097