The article discusses the multivariate normal distribution, which is a way to describe the behavior of multiple random variables at once. If the variables are independent, their covariance matrix is diagonal. The distribution is fully defined by its mean and covariance. In a complex multivariate normal distribution, different parts of the variables can be independent from each other.