Probability I

Catalog description

Review of discrete and continuous probability. Introduction to measure-theoretic probability and its applications, such as the construction of Brownian motion, the definition of general conditional expectations, and the convergence theory of random variables (e.g., laws of large numbers and central limit theorems).