In this post, I’ll be covering the basics of Multivariate Normal Distributions, with special emphasis on deriving the conditional and marginal distributions.
Given a random variable under the usual Gauss-Markov assumptions, with $y_{i} \sim …
I’m taking a Statistics course on the theory of linear models, which covers Gauss-Markov models and various extensions of them. Sometimes, when dealing with partitioned matrices, and commonly Multivariate Normal Distributions, we’ll often …