From: Multivariate distributions of correlated binary variables generated by pair-copulas
 | Probability |
---|---|
(Y1,Y3|Y2=0) | Â |
(0, 0) | \(\phantom {\dot {i}\!} C_{13|0}(q_{1|0}, q_{3|0};\theta _{13|Y_{2}=0})\) |
 | \(=-\frac {1}{0.95}\log \left (1+\frac {(e^{-0.95*0.5057}-1)(e^{-0.95*0.699}-1)}{e^{-0.95}-1}\right)=0.3782\) |
(0, 1) | \(\phantom {\dot {i}\!}q_{1|0}-C_{13|0}(q_{1|0}, q_{3|0};\theta _{13|Y_{2}=0})=0.5057-0.3782=0.1275\) |
(1, 0) | \(\phantom {\dot {i}\!}q_{3|0}-C_{13|0}(q_{1|0}, q_{3|0};\theta _{13|Y_{2}=0})=0.699-0.3782=0.3208\) |
(1, 1) | \(\phantom {\dot {i}\!}1-q_{1|0}-q_{3|0}+C_{13|0}(q_{1|0}, q_{3|0};\theta _{13|Y_{2}=0})=0.1735\) |
(Y1,Y3|Y2=1) | Â |
(0, 0) | \(\phantom {\dot {i}\!} C_{13|1}(q_{1|1}, q_{3|1};\theta _{13|Y_{2}=1})\) |
 | \(=-\frac {1}{0.85}\log \left (1+\frac {(e^{-0.85*0.069}-1)(e^{-0.85*0.2719}-1)}{e^{-0.85}-1}\right)=0.0244\) |
(0, 1) | \(\phantom {\dot {i}\!}q_{1|1}-C_{13|1}(q_{1|1}, q_{3|1};\theta _{13|Y_{2}=1})=0.069-0.0244=0.0446\) |
(1, 0) | \(\phantom {\dot {i}\!}q_{3|1}-C_{13|1}(q_{1|1}, q_{3|1};\theta _{13|Y_{2}=1})=0.2719-0.0244=0.2475\) |
(1, 1) | \(\phantom {\dot {i}\!}1-q_{1|1}-q_{3|1}+C_{13|1}(q_{1|1}, q_{3|1};\theta _{13|Y_{2}=1})=0.6835\) |