Explores linear regression with and without covariates, covering models captured by independent distributions and tools like subspaces and orthogonal projections.
Delves into social and information networks dynamics, including herding behavior, information cascades, preferential attachment, and the Friendship Paradox.
Covers the Caratheodory extension theorem, uniqueness and existence of probability measures, Bernoulli random variables, and spaces of random variables.
