I have two sets of continuous multivariate observations $X=\{x_1, x_2, ..., x_d\}$ and $Y=\{y_1, y_2, ..., y_d\}$. How can I justify if they are statistically independent or not?
For simplicity, I assume another variable $Z=\{x_1, x_2, ..., x_d, y_1, y_2, ..., y_d\}$ by concatenating $X$ and $Y$. Moreover, I assume multivariate normal distribution for all random variables $X$, $Y$ and $Z$.
Now, to prove the statistical independence, is it sufficient to verify: $p(Z) = p(X)p(Y)$, where $p(Z) = p(X,Y)$ according to the concept of multivariate distribution and joint distribution discussed here.