x and y are independent random variables:
$x \sim Norm(0, \sigma_1^2)$
$y \sim Norm(0, \sigma_2^2)$
It is known that $x + y = \alpha$ How to find $E(x|\alpha)$ ?
x and y are independent random variables:
$x \sim Norm(0, \sigma_1^2)$
$y \sim Norm(0, \sigma_2^2)$
It is known that $x + y = \alpha$ How to find $E(x|\alpha)$ ?
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$$E[x|\alpha] = \alpha \dfrac{\sigma_1^2}{\sigma_1^2+\sigma_2^2}$$
$$Var(x|\alpha) = \dfrac{\sigma_1^2 \sigma_2^2}{\sigma_1^2 + \sigma_2^2}$$
See both the question and answer at https://stats.stackexchange.com/questions/9071/intuitive-explanation-of-contribution-to-sum-of-two-normally-distributed-random for an explanation