Random Vectors and the Multivariate Normal
Standard Modes of Convergence, the Law of Large Numbers, Stochastic Order
Tools extending weak convergence
T-squared and chi-squared statistics
Total variation and Kullback-Liebler
Consistency of Maximum Likelihood
Asymptotic Normality of Maximum Likelihood
High Dimensional Estimation with Constraints