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