Statistics, Bayesian Statistics, Optimization And Ml, Machine Learning, Programming.
mean and covariance matrix K where We’ll generate a weight vector with 10 elements from a spherical Gaussian with unit variance, and we’ll rescale the weights so that the signal variance is equal to 1. Then we’ll set where ε is a vector of 20 elements taken from a Gaussian with unit variance.