Chapter 3 Random Vectors and Multivariate Normal …
Left as an exercise. 2. For any random vector X, the covariance matrix cov(X) is symmetric. Proof. ... if and only if all non-zero linear combinations of the components of X are normally distributed. Chapter 3 90. ... Marginal and Conditional distributions
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