Advanced Stochastic Processes
As taught in: Fall 2005
Instructors:
Prof. David Gamarnik
Premal Shah
MIT Course Number:
15.070
Level:
Graduate
Course Features
Course Description
The class covers the analysis and modeling of stochastic processes. Topics include measure theoretic probability, martingales, filtration, and stopping theorems, elements of large deviations theory, Brownian motion and reflected Brownian motion, stochastic integration and Ito calculus and functional limit theorems. In addition, the class will go over some applications to finance theory, insurance, queueing and inventory models.


