RANDOM VECTORS
Second form of the covariance matrix of a random vector
Expectation of a twice linearly transformed random vector ...
Pick a random vector a ~ U(âˆ'd, d)
Add this to the current position x to create the new potential position y = x + a ...
Linear regression A conditional statistical model of random vector y given measurement vector x, where y is a linear transformation of x followed by additive noise, typically Gaussian. That is, y = Ax + e.
 See also: Distribution, Variance, Normal distribution, Covariance, Multivariate normal distribution
  
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