MATH
637
Advanced Probability 2
Hours
3.0 Credit, 3 Lecture, 0 Lab
Prerequisites
Measure-theoretic stochastic processes. Martingales, Markov processes, Brownian motion, stochastic integration.
Learning Outcomes
Students should understand the topics outlined in the minimal learning outcomes on the Math 544 Wiki page. As evidence of that understanding, students should be able to demonstrate mastery of all relevant vocabulary, familiarity with common examples and counterexamples, knowledge of the content of the major theorems, understanding of the ideas in their proofs, and ability to make direct application of those results to related problems.
Overview
Convergence of random variables
Laws of Large Numbers
Stochastic processes
Ergodic theory
Martingales
Brownian motion
Itô integral