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Mathematical theory of statistics, concerned with formal definitions and general results.

1 vote
2 answers
2k views

Is the joint distribution of two linear combinations of Gaussians still a multivariate normal?

Suppose I have $\textbf{X}$ ~ $N(\textbf{0},\Sigma)$, and I'm considering two different linear combinations, $a^* X$ and $b^* X$, which we suppose are uncorrelated. I understand that linear combinatio …
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1 vote
0 answers
38 views

Is there a geometric interpretation for the surprising result of $E[x(y-\mu_y)] = COV(x,y)$?

I was playing around with non-central second moments, and noticed that $E[x(y-\mu_y)] = E[(x-\mu_x + \mu_x)(y-\mu_y)] = COV[x,y] + E[\mu_x(y-\mu_y) = COV[x,y] + 0$. I find this very surprising. It ap …
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  • 467
7 votes
1 answer
207 views

How is it possible for both the likelihood and log-likelihood to be asymptotically normal?

I was trying to understand asymptotic normality of the posterior better, and came across a confusing point. So let's say we have a likelihood, $$L(\theta | X) = \prod_{i=1}^n p(X_i | \theta), $$ so th …
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