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  • https://stats.libretexts.org/Bookshelves/Probability_Theory/Probability_Mathematical_Statistics_and_Stochastic_Processes_(Siegrist)/04%3A_Expected_Value/4.07%3A_Conditional_Expected_Value
    \begin{align} \cov(Y, Z \mid X) & = \E\left(Y Z - Y \E(Z \mid X) - Z E(Y \mid X) + \E(Y \mid X) E(Z \mid X) \biggm| X \right) = \E(Y Z \mid X) - \E\left[Y \E(Z \mid X) \mid X\right] - \E\left[Z \E(Y \...\cov(Y,ZX)=\E(YZY\E(ZX)ZE(YX)+\E(YX)E(ZX)|X)=\E(YZX)\E[Y\E(ZX)X]\E[Z\E(YX)X]+\E[\E(YX)\E(ZX)X]=\E(YZX)\E(YX)\E(ZX)\E(YX)\E(ZX)+\E(YX)\E(ZX)=\E(YZX)\E(YX)E(ZX)

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