Lecture
This lecture covers the introduction to multivariate statistics, including random vectors, the Cramér-Wold device, properties of the multivariate normal distribution, and characteristic functions. It also discusses linear transformations, marginal distributions, and conditional distributions in the context of multivariate normality.