STAT 601
Probability Theory II
Weak convergence of measures; characteristic functions; Central Limit Theorem and local limit theorem; stable laws; Kolmogorov consistency theorem (without proof); conditional expectations and martingales; optimal stopping theorem; convergence of martingales; Brownian motion; Markov processes and families; stochastic integral and Ito formula.
Prerequisites & course information
Additional Information: To prepare for this course, students should take STAT600 or consult with the course instructor before registering.
Sources
- Course catalogue ↗2026-2027