Concept about marginal probability $p(y)$to conditional probability $p(y|x)$ transformation?

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I have a function like the following,

$p\left( y \right) = \int\limits_x {\int\limits_z {(Q({x^2} + y) + yz + z)dxdz} } $

Where, $Q(x) = \frac{1}{{2\pi }}\int\limits_x^\infty {{e^{ - \frac{{{t^2}}}{2}}}dt} $ and $x,y,z \in R$. I like to find $p(y|x)$ and $p(y|x = 0)$?

For, $p(y|x = 0)$ I put $x=0$. But I think I am wrong.

$p(y|x = 0) = \int\limits_z {(Q(y) + yz + z)dz} $