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Questions about the properties of vector spaces and linear transformations, including linear systems in general.

3 votes

In what sense is the Bayesian posterior mean a “convex combination”?

Answering my own question: the posterior mean will lie on the locus of tangency between the ellipsoids centered at $y_1, y_2$ and with shape matrices $\Sigma_1^{-1}, \Sigma_2^{-1}$ respectively. See …
Ronaldo Carpio's user avatar
9 votes
1 answer
483 views

In what sense is the Bayesian posterior mean a “convex combination”?

I asked this on math.stackexchange with no response, I'm hoping someone here might have something. Suppose I want to estimate $x \in \mathbb{R}^n$ from two signals with zero mean, normally distribute …
Ronaldo Carpio's user avatar