I'm just wondering if I have the correct answers to these questions.
Let $X$, $Y$, and $Z$ be multivariate Gaussian distributed with mean vector and covariance matrix: $$ \mu = (0,1,2)^T, \quad \Sigma = ((4,5,1),(5,9,-2),(1,-2,1)) $$ What is the distribution of $(Z,X)^T$?
I have $$ (Z,X)^T \sim ( (2,0)^T, ((1,1),(1,4)) ) $$ Calculate the distribution of $(Z,X)^T | Y = 4$.
I have $$ (Z,X)^T | Y = 4 \sim ( (11/3,-2/3)^T, ((-16/9,19/9),(19/9,32/9)) ) $$ What is the distribution of $2X - 3Y$? I have $$ 2X-3Y \sim (-3, -65) $$
The first one is correct.
The second one follow this link. But you can tell it is net correct as the diagonal elements of the covariance matrix can NOT be negative.
The last one follows: $$ aX + bY \sim N(a\mu_X + b\mu_Y, a^2\sigma_X^2 + b^2\sigma_Y^2 + 2ab\sigma_{X,Y}) $$ so, it is not correct. BTW, variance can NOT be negative.