- About Us
- Helpful Links
AMS 569, Probability Theory I
Probability spaces and sigma-algebras. Random variables as measurable mappings. Borel-Cantelli lemmas. Expectation using simple functions. Monotone and dominated convergence theorems. Inequalities. Stochastic convergence. Characteristic functions. Laws of large numbers and the central limit theorem.
Prerequisite: AMS 510
3 credits, ABCF grading
"Probability Essentials" by Jean Jacod and Philip Protter; 2nd edition (corrected second printing 2004); Springer;
ISBN: 978-3-642-55682-1 (eBook)